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Academic literature on the topic 'Classification analysi'

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Published: 10 March 2023

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Journal articles on the topic "Classification analysi"

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Himmelreich, Nastassja, Rosa Navarrete, Lourdes Ruiz Desviat, Santiago Ramon, Belen Perez, and Nenad Blau. "PATHOGENICITY CLASSIFICATION OF PHENYLALANINE HYDROXYLASE () MISSENSE VARIANTS USING ACMG/AMP/ACGS RECOMMENDATIONS, VARIANT EFFECT PREDICTORS (VEP) AND 3D ANALYSI." Molecular Genetics and Metabolism 138, no. 3 (March 2023): 107422. http://dx.doi.org/10.1016/j.ymgme.2023.107422.

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Willatt, D. J., M. S. McCormick, R. P. Morton, and P. M. Stell. "Staging of Maxillary Cancer." Annals of Otology, Rhinology & Laryngology 96, no. 2 (March 1987): 137–41. http://dx.doi.org/10.1177/000348948709600201.

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Of the many proposed classifications for staging maxillary sinus cancer, none has been adopted universally and none is known to be superior to the others. This study identified the best of six currently used classifications using data from 53 previously untreated patients with squamous cell carcinoma of the maxillary sinus. Analysis of each classification's ability to stage the majority of patients, produce a balanced distribution of T stages, and correlate T stage with treatment and prognosis revealed Harrison's classification to be the best. Harrison's classification should be adopted worldwide as the classification of choice for staging squamous cell carcinoma of the maxillary sinus.
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Dwivedi, Somya, Harsh Patel, and Shweta Sharma. "Movie Reviews Classification Using Sentiment Analysis." Indian Journal of Science and Technology 12, no. 41 (November 20, 2019): 1–6. http://dx.doi.org/10.17485/ijst/2019/v12i41/145554.

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Supe, Liāna, and Ingūna Jurgelāne-Kaldava. "Classification of higher education institutions: qualitative content analysis." Pedagoģija: teorija un prakse : zinātnisko rakstu krājums = Pedagogy: Theory and Practice : collection of scientific articles, no. IX (April 6, 2020): 87–99. http://dx.doi.org/10.37384/ptp.2020.09.087.

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Aim – to identify criterions and parameters for classification of higher education institutions, using research method – qualitative content analysis. The following tasks are defined for reaching the aim: to conduct qualitative content analysis and define categories and their frequency; to describe and analyse defined categories; to compare different classifications of higher education institutions; to summarize the analysis results and draw conclusions. Research methodology – overview of literature and qualitative content analysis. Findings – qualitative content analysis helps to structure the information gathered, to select the relevant and applicable, and leads to the development of new categories; higher education institutions are classified in many ways, using different criterions and parameters; classifications made by individual researchers are available, as well as universally known and applied classifications of higher education institutions such as Carnegie Classification and European classification of higher education institutions. Research limitations – the classification of higher education institutions is analysed only from Europe and the United States of America.
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Di Lauro, Salvatore, Mustafa R. Kadhim, David G. Charteris, and J. Carlos Pastor. "Classifications for Proliferative Vitreoretinopathy (PVR): An Analysis of Their Use in Publications over the Last 15 Years." Journal of Ophthalmology 2016 (2016): 1–6. http://dx.doi.org/10.1155/2016/7807596.

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Purpose. To evaluate the current and suitable use of current proliferative vitreoretinopathy (PVR) classifications in clinical publications related to treatment.Methods. A PubMed search was undertaken using the term “proliferative vitreoretinopathy therapy”. Outcome parameters were the reported PVR classification and PVR grades. The way the classifications were used in comparison to the original description was analyzed. Classification errors were also included. It was also noted whether classifications were used for comparison before and after pharmacological or surgical treatment.Results. 138 papers were included. 35 of them (25.4%) presented no classification reference or did not use any one. 103 publications (74.6%) used a standardized classification. The updated Retina Society Classification, the first Retina Society Classification, and the Silicone Study Classification were cited in 56.3%, 33.9%, and 3.8% papers, respectively. Furthermore, 3 authors (2.9%) used modified-customized classifications and 4 (3.8%) classification errors were identified. When the updated Retina Society Classification was used, only 10.4% of authors used a full C grade description. Finally, only 2 authors reported PVR grade before and after treatment.Conclusions. Our findings suggest that current classifications are of limited value in clinical practice due to the inconsistent and limited use and that it may be of benefit to produce a revised classification.
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Gehlsen, Gale M., and Joan Karpuk. "Analysis of the NWAA Swimming Classification System." Adapted Physical Activity Quarterly 9, no. 2 (April 1992): 141–47. http://dx.doi.org/10.1123/apaq.9.2.141.

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This study was conducted to determine the effectiveness of the National Wheelchair Athletic Association (NWAA) classification system in swimming events. The NWAA records of freestyle, butterfly, and backstroke in nine classifications of both male and female athletes were used (N=1,256). Each athlete’s speed was calculated from the reported time and distance. There was a significant difference in classification for all events except the paraplegic 50- and 100-m backstroke events. Post hoc data analyses within classification for the 50- and 100-m freestyle events indicated significant differences among all paraplegic classifications. Post hoc data analyses within classifications for the 50-m butterfly event indicated significant differences among all paraplegic classes except Class V and Class VI athletes. Tetraplegic within classification post hoc data analyses indicated significant differences between 1A and both Classes 1B and 1C. Gender differences were statistically indicated for all events. The logic of the medical classification system of the NWAA cannot be totally supported by these data. However, the results do not offer clear direction for any combination of classes.
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Khan, Nida Zafar, and Prof S. R. Yadav. "Analysis of Text Classification Algorithms: A Review." International Journal of Trend in Scientific Research and Development Volume-3, Issue-2 (February 28, 2019): 579–81. http://dx.doi.org/10.31142/ijtsrd21448.

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Roberts, Kevin C., John B. Lindsay, and Aaron A. Berg. "An Analysis of Ground-Point Classifiers for Terrestrial LiDAR." Remote Sensing 11, no. 16 (August 16, 2019): 1915. http://dx.doi.org/10.3390/rs11161915.

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Previous literature has compared the performance of existing ground point classification (GPC) techniques on airborne LiDAR (ALS) data (LiDAR—light detection and ranging); however, their performance when applied to terrestrial LiDAR (TLS) data has not yet been addressed. This research tested the classification accuracy of five openly-available GPC algorithms on seven TLS datasets: Zhang et al.’s inverted cloth simulation (CSF), Kraus and Pfeiffer’s hierarchical weighted robust interpolation classifier (HWRI), Axelsson’s progressive TIN densification filter (TIN), Evans and Hudak’s multiscale curvature classification (MCC), and Vosselman’s modified slope-based filter (MSBF). Classification performance was analyzed using the kappa index of agreement (KIA) and rasterized spatial distribution of classification accuracy datasets generated through comparisons with manually classified reference datasets. The results identified a decrease in classification accuracy for the CSF and HWRI classification of low vegetation, for the HWRI and MCC classifications of variably sloped terrain, for the HWRI and TIN classifications of low outlier points, and for the TIN and MSBF classifications of off-terrain (OT) points without any ground points beneath. Additionally, the results show that while no single algorithm was suitable for use on all datasets containing varying terrain characteristics and OT object types, in general, a mathematical-morphology/slope-based method outperformed other methods, reporting a kappa score of 0.902.
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Paula Neto, Antonio Candido de, Douglas Hideki Ikeuti, Augusto Braga dos Santos, Rui Dos Santos Barroco, Bruno Rodrigues de Miranda, and Rafael Da Rocha Macedo. "Concordance analysis of adult ankle fracture classifications." Scientific Journal of the Foot & Ankle 13, no. 1 (March 31, 2019): 10–14. http://dx.doi.org/10.30795/scijfootankle.2019.v13.885.

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Objective: To analyze the interobserver agreement among physicians in an orthopedy and traumatology service with knowledge and training in adult ankle fracture classifications through radiographic evaluation. Methods: A cross-sectional study was carried out in which the records of 20 patients with a diagnosis of ankle fracture in 2016 (uni-, bi- or trimalleolar), aged older than 18 years or with a closed physis, were studied. The radiographs that met the criteria were analyzed and classified according to the Danis Weber (DW), Lauge-Hansen (LH) and Arbeitsgemeinschaft für Osteosynthesefragen/Orthopaedic Trauma Association (AO/OTA) classifications by two first-year residents, two second-year residents, two third-year residents and two preceptors of the service. The conditions were identical for the observers and were performed individually once. The Kappa coefficient (K) was used to assess agreement. Results: The results showed great interobserver agreement in the DW and LH classifications, with K values equal to 0.69 and 0.64, respectively. The AO/OTA classification showed moderate agreement, with K = 0.47. Conclusion: The DW classification was the most reliable among the three classifications. The AO/OTA classification showed the lowest agreement and was the least reliable, and the LH classification was in between the others. Level of Evidence III, Diagnostic Studies; Study of non consecutive patients; without consistently applied reference “gold” standard.
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Hassan, Awring Falah. "Analysis of BBC News by Applying Classification Algorithms." Journal of Advanced Research in Dynamical and Control Systems 12, no. 1 (February 13, 2020): 148–52. http://dx.doi.org/10.5373/jardcs/v12i1/20201023.

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Dissertations / Theses on the topic "Classification analysi"

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Marchetti, A. "Automatic classification of galaxy spectra in large redshift surveys." Doctoral thesis, Università degli Studi di Milano, 2014. http://hdl.handle.net/2434/243304.

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In my thesis work I make use of a Principal Component Analysis to classify galaxy spectra in large redshift surveys. In particular, I apply this classification to the first public data release spectra of galaxies in the range 0.4
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ROMELLI, KATIA. "Discourse, society and mental disorders: deconstructing DSM over time through critical and lacanian discourse analysis." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2014. http://hdl.handle.net/10281/83278.

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This dissertation presents an interdisciplinary work aimed at investigate the discursive construction of otherness in mental health domain in the Western culture, and in detail the role of Diagnostic and Statistical Manual of Mental Disorders (DSM), published by the APA, in this process. Critical psychology perspective oriented the research and the data collection. The analysis is conducted through a multi-method approach (Critical Discourse Analysis, Semiotic Analysis and Lacanian Discourse Analysis), which integrates several traditions with a particular concern about the ways in which power and ideology are discursively enacted, produced and resisted by text and talk and shape the concept of mental disorders. The study (1) examines how legitimisation and hegemony have been discursively constructed, legitimised and consolidated over time. The study (2) aims to investigate the scientific debate around the deletion of NPD in order to reconstruct and deconstruct the decisional process through which the boundaries between normality and pathology are constructed. The study (3) aims to investigate how the discourse of DSM was contested by discourse of other social actors involved in the mental-health domain in order to analyze the effect on shaping subjectivity of patients and mental-health professionals.
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Bonneau, Jean-Christophe. "La classification des contrats : essai d'une analyse systémique des classifications du Code civil." Grenoble, 2010. http://www.theses.fr/2010GREND017.

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La classification des contrats telle qu'elle est énoncée aux articles 1102 et suivants du Code civil se distingue structurellement des classifications modernes lui ayant été ajoutées. Prenant au sérieux l'idée d’une approche globale de la classification, les classifications du Code civil, séparées d'un régime juridique qui ne dépend pas en réalité d'elles et de notions qui lui sont étrangères, comme la cause, ont été envisagées dans leurs rapports de logique et de complémentarité. L'existence des chaînes de classifications, nouvelle classification résultant de l'assemblage cohérent des différentes classifications prévues par le Code civil, a pu être révélée au terme d'une étude visant à comprendre comment ces classifications se lient et se combinent entre elles. Les fonctionnalités de la classification des contrats ont alors été déduites de la structure même des classifications du Code civil réunies en chaînes. Celles-ci ont pour propriété de révéler ce qui constitue l'essence du contrat, en permettant de le distinguer de certaines figures qui tentent de s'y assimiler mais s'en distinguent néanmoins dès lors que l'aptitude d'un objet juridique à s'intégrer dans les chaînes de classifications est perçu comme conditionnant la qualification contractuelle elle-même. Envisagées comme un critère privilégié de définition du contrat, qui peut inspirer les projets visant à élaborer un droit européen des contrats, les chaînes de classifications ont ensuite été pensées dans leurs rapports avec la diversité des contrats nommés. Les chaînes de classifications absorbent ces derniers ainsi que leur régime juridique qui peut, en conséquence, être transposé aux contrats innomés. Permettant un renouvellement des regroupements et des distinctions généralement perçus, les chaînes de classifications apportent un éclairage nouveau au processus de qualification du contrat, contribuent à préciser le domaine de la modification du contrat, et fournissent, enfin, un fondement à l'action contractuelle directe qui s'exerce dans les chaînes de contrats
The classification of contracts as it is stated in the civil Code articles 1102 onwards structurally distinguishes itself from modern classifications having been added to it. Looking thoroughly at the matter of a global approach of classification, the classifications of the civil Code, separated from a legal regime which does not in fact depend on them and on notions which are foreign to it, such as the concept of “cause”, were considered in their connections of logic and complementarity. The existence of the chains of classifications, a new classification resulting from the coherent assembly of the various classifications provided for the civil Code, were brought to light thanks to a study aiming at understanding how these classifications are bound and harmonized. The features of the classification of contracts were then deducted from the very structure of the classifications of the civil Code combined in chains. These have for feature to reveal what constitutes the essence of the contract, by allowing to distinguish it from certain figures which try to assimilate to it but nevertheless distinguish themselves from it since the capacity of a legal object to become integrated into the chains of classifications is perceived as conditional on the contractual qualification itself. Considered as a preferred criterion of the definition of the contract, which can give rise to projects aiming at the elaboration of a body of European contract laws, the chains of classifications were then conceptualised in their connections with the variety of the named contracts. The chains of classifications absorb these contracts as well as their legal regime which can, consequently, be transposed into the unnamed contracts. Allowing a renewal of the groupings generally perceived, the chains of classifications bring a new light to the process of qualification of the contract. They contribute to specify the domain of the modification of the contract, and finally supply a foundation for the direct contractual action which is applied to the chains of contracts
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Llobell, Fabien. "Classification de tableaux de données, applications en analyse sensorielle." Thesis, Nantes, Ecole nationale vétérinaire, 2020. http://www.theses.fr/2020ONIR143F.

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Les données structurées sous forme de tableaux se rapportant aux mêmes individus sont de plus en plus fréquentes dans plusieurs secteurs d’application. C’est en particulier le cas en évaluation sensorielle où plusieurs épreuves conduisent à l’obtention de tableaux multiples ; chaque tableau étant rapporté à un sujet (juge, consommateur, …). L’analyse exploratoire de ce type de données a suscité un vif intérêt durant les trente dernières années. Cependant, la classification de tableaux multiples n’a été que très peu abordée alors que le besoin pour ce type de données est important. Dans ce contexte, une méthode appelée CLUSTATIS permettant de segmenter les tableaux de données est proposée. Au cœur de cette approche se trouve la méthode STATIS, qui est une stratégie d’analyse exploratoire de tableaux multiples. Plusieurs extensions de la méthode de classification CLUSTATIS sont présentées. En particulier, le cas des données issues d’une épreuve dite « Check-All-That-Apply » (CATA) est considéré. Une méthode de classification ad-hoc, nommée CLUSCATA, est discutée. Afin d’améliorer l’homogénéité des classes issues aussi bien de CLUSTATIS que de CLUSCATA, une option consistant à rajouter une classe supplémentaire, appelée « K+1 », est introduite. Cette classe additionnelle a pour vocation de collecter les tableaux de données identifiés comme atypiques. Le choix du nombre de classes est abordé, et des solutions sont proposées. Des applications dans le cadre de l’évaluation sensorielle ainsi que des études de simulation permettent de souligner la pertinence de l’approche de classification. Des implémentations dans le logiciel XLSTAT et dans l’environnement R sont présentées
Multiblock datasets are more and more frequent in several areas of application. This is particularly the case in sensory evaluation where several tests lead to multiblock datasets, each dataset being related to a subject (judge, consumer, ...). The statistical analysis of this type of data has raised an increasing interest over the last thirty years. However, the clustering of multiblock datasets has received little attention, even though there is an important need for this type of data.In this context, a method called CLUSTATIS devoted to the cluster analysis of datasets is proposed. At the heart of this approach is the STATIS method, which is a multiblock datasets analysis strategy. Several extensions of the CLUSTATIS clustering method are presented. In particular, the case of data from the so-called "Check-All-That-Apply" (CATA) task is considered. An ad-hoc clustering method called CLUSCATA is discussed.In order to improve the homogeneity of clusters from both CLUSTATIS and CLUSCATA, an option to add an additional cluster, called "K+1", is introduced. The purpose of this additional cluster is to collect datasets identified as atypical.The choice of the number of clusters is discussed, ans solutions are proposed. Applications in sensory analysis as well as simulation studies highlight the relevance of the clustering approach.Implementations in the XLSTAT software and in the R environment are presented
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Platon, Ludovic. "Algorithms for ab initio identification and classification of ncRNAs." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLE003/document.

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L'identification des ARN non codants (ARNncs) permet d'améliorer notre compréhension de la biologie.Actuellement, les fonctions biologiques d'une grande partie des ARNncs sont connues.Mais il reste d'autre classes à découvrir.L'identification et la classification des ARNncs n'est pas une tâche triviale.Elle dépend de plusieurs types de données hétérogènes (séquence, structure secondaire, interaction avec d'autres composants biologiques, etc.) et nécessite l'utilisation de méthode appropriées.Durant cette thèse, nous avons développé des méthodes basées sur les cartes auto-organisatrice (SOM).Les SOMs nous permettent analyser et de représenter les ARNncs par une carte où la topologie des données est conservée.Nous avons proposé un nouvel algorithme de SOM qui permet d'intégrer plusieurs sources de données sous forme numérique ou sous forme complexe (représenté par des noyaux).Ce nouvel algorithm que nous appelons MSSOM calcule une SOM pour chaque source de données et les combine à l'aide d'une SOM finale.MSSOM calcule pour chaque cluster la meilleur combinaison de sources.Nous avons par ailleurs développer une variante supervisée de SOM qui s'appelle SLSOM.SLSOM classifie les classes connues à l'aide d'un perceptron multicouche et de la sortie d'une SOM.SLSOM intègre également une option de rejet qui lui permet de rejeter les prédictions incertaines et d’identifier de nouvelles classes.Ces méthodes nous ont permis de développer deux nouveaux outils bioinformatique.Le premier est l'application d'une variante de SLSOM pour la discrimination entre les ARNs codants et non-codants.Cet outil que nous appelons IRSOM a été testé sur plusieurs espèce venant de différents règnes (plantes, animales, bactéries et champignons).A l'aide de caractéristique simples, nous avons montré que IRSOM permet de séparer les ARNs codants des non-codants.De plus, avec la visualisation de SOM et l'option de rejet nous avons pu identifier les ARNs ambiguë chez l'humain.Le second s'appelle CRSOM et permet de classifier les ARNncs en différentes sous-classes.CRSOM est une combinaison de MSSOM et SLSOM et utilise deux sources de données qui sont la fréquence des k-mers de séquence et un noyau Gaussien de structure secondaire utilisant la distance d'édition.Nous avons montrer que CRSOM obtient des performances comparable à l'outil de référence (nRC) sans rejet, et de meilleur résultats avec le rejet
The non-coding RNA (ncRNA) identification helps to improve our comprehension of biology. We know the biological functions for a majority of ncRNA classes. But, we don't know all the classes of ncRNAs. Besides, the identification of ncRNAs using computational methods is not a trivial task. The relevant features for each class of ncRNAs rely on multiple heterogeneous sources of data (sequences, secondary structure, interaction with other biological components, etc.). During this thesis, we developed methods relying on Self-Organizing Maps (SOM).The SOM is used to analyze and represent the ncRNAs by a map of clusters where the topology of the data is preserved.We proposed a new SOM version called MSSOM which can handle multiple sources of data composed of numerical data or complex data (represented by kernels). MSSOM combines data sources by using a SOM for each source and learns the weights of each source at the cluster level.We also proposed a supervised variant of SOM with rejection called SLSOM. SLSOM is able to identify and classify the known classes using multi layer perceptron and the output of a SOM.The rejection options associated to the output layer allow to reject the unreliable prediction and to identify the potential new classes.These methods lead to the development of bioinformatic tools.We applied a variant of SLSOM to the discrimination of coding and non-coding RNAs. This method called IRSOM has been evaluated on a wide range of species coming from different reigns (plants, animals, bacteria and fungi).By using a simple set of sequence features, we showed that IRSOM is able to separate the coding and non-coding RNAs efficiently.With the SOM visualization and the rejection option, we also highlighted and analyzed some ambiguous RNAs on the human. The second one is called CRSOM.CRSOM classify ncRNAs into sub classes by integrating two data sources which are the sequence k-mer frequencies and a Gaussian kernel using the edit distance. We show that CRSOM give comparable results with the reference tool (nRC) without reject and better results with the rejection option
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Neovius, Sofia. "René Descartes’ Foundations of Analytic Geometry and Classification of Curves." Thesis, Uppsala universitet, Algebra och geometri, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-202147.

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Fazeli, Goldisse. "Classification and discriminant analysis." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ47800.pdf.

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de, Roos Dolf. "Spectral analysis classification sonars." Thesis, University of Canterbury. Electrical Engineering, 1986. http://hdl.handle.net/10092/5575.

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Sonar target classification based on frequency-domain echo analysis is investigated. Conventional pulsed sonars are compared with continuous transmission frequency modulated (CTFM) sonars, and differences relating to target classification are discussed. A practical technique is introduced which eliminates the blind time inherent in CTFM technology. The value and implications of modelling underwater sonars in air are discussed and illustrated. The relative merits of auditory, visual and computer analysis of echoes are examined, and the effects of using two or more analysis methods simultaneously are investigated. Various statistical techniques for detecting and classifying targets are explored. It is seen that with present hardware limitations, a two-stage echo analysis approach offers the most efficient means of target classification. A novel design for three-section quarter-wavelength transducers is presented and evaluated. Their inherently flat frequency response makes these transducers well suited to broadband applications. The design philosophy and construction details of a Diver's Sonar and an underwater Classification Sonar are given. Sea trials reveal that using the Diver's Sonar, a blind-folded diver can successfully navigate in an unknown environment, and locate and classify targets; using the Classification Sonar, targets may be located and classified using either operators or computer software.
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Lee, Lily 1971. "Gait analysis for classification." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/8116.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002.
Includes bibliographical references (p. 121-124).
This thesis describes a representation of gait appearance for the purpose of person identification and classification. This gait representation is based on simple localized image features such as moments extracted from orthogonal view video silhouettes of human walking motion. A suite of time-integration methods, spanning a range of coarseness of time aggregation and modeling of feature distributions, are applied to these image features to create a suite of gait sequence representations. Despite their simplicity, the resulting feature vectors contain enough information to perform well on human identification and gender classification tasks. We demonstrate the accuracy of recognition on gait video sequences collected over different days and times, and under varying lighting environments. Each of the integration methods are investigated for their advantages and disadvantages. An improved gait representation is built based on our experiences with the initial set of gait representations. In addition, we show gender classification results using our gait appearance features, the effect of our heuristic feature selection method, and the significance of individual features.
by Lily Lee.
Ph.D.
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Duong, Minh Duc <1992&gt. "Classification by pairwise coupling." Master's Degree Thesis, Università Ca' Foscari Venezia, 2020. http://hdl.handle.net/10579/16806.

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Pairwise Coupling is a statistical procedure designed to solve multi-class classification problems thought a combination of binary classifications. This thesis considers three different methods for pairwise coupling namely the Hastie and Tibshirani (1998) algorithm, the PKPD algorithm (Price et al., 1995) and voting rule (Knerr 1990; Friedman 1996). For each method, both linear discriminant analysis and logistic regression are considered to compute the pairwise probabilities. The three pairwise coupling methods are studied in detail and compared through simulations. Finally, real data are used to illustrate the methods."
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Books on the topic "Classification analysi"

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Classification. 2nd ed. Boca Raton: Chapman & Hall/CRC, 1999.

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James, Mike. Classification algorithms. New York: Wiley, 1985.

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Mirkin, B. G. Mathematical classification and clustering. Dordrecht: Kluwer Academic Publishers, 1996.

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Classification and regression trees. New York, N.Y: Chapman & Hall, 1993.

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Construction and assessment of classification rules. Chichester: Wiley, 1997.

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James, M. Classification algorithms. New York: Wiley, 1985.

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Phipps, Arabie, Hubert Lawrence J. 1944-, and Soete Geert de, eds. Clustering and classification. Singapore: World Scientific, 1996.

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C, Gower J., ed. Ordination and classification. Montréal, Québec, Canada: Les Presses de l'Université de Montréal, 1986.

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Jajuga, Krzysztof, Krzysztof Najman, and Marek Walesiak, eds. Data Analysis and Classification. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75190-6.

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Jajuga, Krzysztof, Jacek Batóg, and Marek Walesiak, eds. Classification and Data Analysis. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52348-0.

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Book chapters on the topic "Classification analysi"

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Soille, Pierre. "Classification." In Morphological Image Analysis, 255–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-662-03939-7_10.

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Soille, Pierre. "Classification." In Morphological Image Analysis, 293–315. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-05088-0_10.

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Niemann, Heinrich. "Classification." In Pattern Analysis and Understanding, 151–205. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-74899-8_4.

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L. Jockers, Matthew, and Rosamond Thalken. "Classification." In Text Analysis with R, 195–210. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39643-5_16.

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Cesare, Silvio, and Yang Xiang. "Dynamic Analysis." In Software Similarity and Classification, 51–56. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2909-7_6.

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Göker, Markus. "What can genome analysis offer for bacteria?" In Trends in the systematics of bacteria and fungi, 255–81. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789244984.0255.

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Abstract This book chapter is organized as follows: (i) the main approaches to the philosophy of taxonomic classification are recapitulated; (ii) the paradigm of polyphasic taxonomy is discussed in this context; (iii) the causes of conflict between previous classifications and genome-scale analyses are investigated, using examples from recent phylum-wide studies, with a discussion of how markers used in polyphasic taxonomy can be replaced by genome-derived ones; and (iv) the challenges in assigning taxonomic ranks using genome-scale or other data are revisited. The conclusion assesses the chances, or lack thereof, of reconciling taxonomic classifications. Phenetic and phylogenetic thinking still compete with each other on the classification of bacteria, with potentially conflicting and confusing results. Some causes of problematic taxonomic classifications are independent of the type and number of characters that can be used and can only be mitigated if, for example, taxon sampling and branch support are more appropriately taken into account. It may be possible to devise objective criteria for separating bacterial species, but the currently dominating approaches for microbial species delineation may be inadequate. It is even harder to delineate higher taxa; in contrast to claims in the literature, it may prove to be impossible to objectively assign taxonomic ranks above species level.
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Digby, P. G. N., and R. A. Kempton. "Classification." In Multivariate Analysis of Ecological Communities, 124–49. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3133-6_5.

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Digby, P. G. N., and R. A. Kempton. "Classification." In Multivariate Analysis of Ecological Communities, 124–49. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3135-0_5.

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Causton, D. R. "Classification." In An Introduction to Vegetation Analysis, 98–144. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-011-7981-2_6.

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Causton, D. R. "Classification." In An Introduction to Vegetation Analysis, 98–144. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-011-9737-3_6.

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Conference papers on the topic "Classification analysi"

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Cheng, Qianwei, AKM Mahbubur Rahman, Anis Sarker, Abu Bakar Siddik Nayem, Ovi Paul, Amin Ahsan Ali, M. Ashraful Amin, Ryosuke Shibasaki, and Moinul Zaber. "Deep-learning Coupled with Novel Classification Method to Classify the Urban Environment of the Developing World." In 8th International Conference on Artificial Intelligence and Applications (AIAP 2021). AIRCC Publishing Corporation, 2021. http://dx.doi.org/10.5121/csit.2021.110103.

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Rapid globalization and the interdependence of the countries have engendered tremendous in-flow of human migration towards the urban spaces. With the advent of high definition satellite images, high-resolution data, computational methods such as deep neural network analysis, and hardware capable of high-speed analysis; urban planning is seeing a paradigm shift. Legacy data on urban environments are now being complemented with high-volume, high-frequency data. However, the first step of understanding the urban area lies in the useful classification of the urban environment that is usable for data collection, analysis, and visualization. In this paper, we propose a novel classification method that is readily usable for machine analysis and it shows the applicability of the methodology in a developing world setting. However, the state-of-the-art is mostly dominated by the classification of building structures, building types, etc., and largely represents the developed world. Hence, these methods and models are not sufficient for developing countries such as Bangladesh where the surrounding environment is crucial for the classification. Moreover, the traditional classifications propose small-scale classifications, which give limited information, have poor scalability and are slow to compute in real-time. We categorize the urban area in terms of informal and formal spaces and take the surrounding environment into account. 50 km × 50 km Google Earth image of Dhaka, Bangladesh was visually annotated and categorized by an expert and consequently, a map was drawn. The classification is based broadly on two dimensions the state of urbanization and the architectural form of the urban environment. Consequently, the urban space is divided into four classifications: 1) highly informal area 2) moderately informal area 3) moderately formal area and 4) highly formal area. For semantic segmentation and automatic classification, Google’s DeeplabV3+ model was used. The model uses the Atrous convolution operation to analyze different layers of texture and shape. This allows us to enlarge the field of view of the filters to incorporate a larger context. Image encompassing 70% of the urban space was used to train the model and the remaining 30% was used for testing and validation. The model can segment with 75% accuracy and 60% Mean Intersection over Union (mIoU).
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Krylov, Alexey. "EUPHEMIA AS A LANGUAGE PHENOMENON: WORD-FORMATIVE ASPECT." In ЯЗЫК. КУЛЬТУРА. ПЕРЕВОД = LANGUAGE. CULTURE. TRANSLATION. Science and Innovation Center Publishing House, 2019. http://dx.doi.org/10.12731/lct.2019.18.

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We present a mixed classification of German euphemisms based on the analysis and synthesis of previous classifications based on the material of English, German and Russian languages and abstraction and unification of the revealed linguistic facts. The presented classification distinguishes between lexical-semantic (with 8 types), morphological (with 4 types) and complex (2 types) methods of euphemisms formation.
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Dmitrieva, Elena, and Elena Terekhova. "Semantic matching of State Rubricator of Sci-tech Information and OECD headings." In Sixth World Professional Forum "The Book. Culture. Education. Innovations". Russian National Public Library for Science and Technology, 2021. http://dx.doi.org/10.33186/978-5-85638-236-4-2021-60-76.

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The study was completed to solve the problems of information compatibility and integration of subject subspaces into the single one and information retrieval from heterogeneous resources classified within different classifications of sci-tech information. Based on intellectual analysis and classification synonymity achieved through semantic mapping of hierarchy branches, the tables of SRSTI-OECD headings interreflection were designed. The mapping tables are supplemented with indices comprising Russian-English and English-Russian keywords and word combinations to classify OECD subject domains. The statistics of defined semantic matches distribution of classification numbers in SRSTI thematical classes is included. The SRSTI-OECD «adapter» (semantic links between the classifications and two-language subject indices) makes the component of the single network of interrelated classification systems being developed at the Russian National Public Library for Science and Technology
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Percival, Will J., and Coryn A. L. Bailer-Jones. "Statistical Analysis of Galaxy Redshift Surveys." In CLASSIFICATION AND DISCOVERY IN LARGE ASTRONOMICAL SURVEYS: Proceedings of the International Conference: “Classification and Discovery in Large Astronomical Surveys”. AIP, 2008. http://dx.doi.org/10.1063/1.3059038.

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Fliri, J., D. Martínez-Delgado, M. Jurić, and Coryn A. L. Bailer-Jones. "SDSS analysis of Galactic stellar streams." In CLASSIFICATION AND DISCOVERY IN LARGE ASTRONOMICAL SURVEYS: Proceedings of the International Conference: “Classification and Discovery in Large Astronomical Surveys”. AIP, 2008. http://dx.doi.org/10.1063/1.3059051.

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Gorguluarslan, Recep M., and Seung-Kyum Choi. "Predicting Reliability of Structural Systems Using Classification Method." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-13323.

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This research examines classification approaches for estimating the reliability of structural systems. To validate the accuracy and efficiency of the classification methods, a practical engineering problem; namely, a spider assembly of a washing machine, has been considered. For the spider assembly, fatigue life test, finite element analysis, physical experimentation, and a classification processes are conducted in order to establish the analytical certification of its current design. Specifically, the finite element analysis and fatigue life analysis are performed and their results are validated compared to physical experimental results. The classification process is developed to estimate the probability of failure of the spider assembly in terms of stress and fatigue life. The relationship between the random quantities and structural responses of the spider assembly is established using probabilistic neural network and the support vector machine classifiers. The performance margin of the spider assembly is fully identified based on the estimated failure probability and structural analysis results from the fatigue life analysis and classifications.
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Heasley, J. N., and Coryn A. L. Bailer-Jones. "The Pan-STARRS Data Processing and Science Analysis Software Systems." In CLASSIFICATION AND DISCOVERY IN LARGE ASTRONOMICAL SURVEYS: Proceedings of the International Conference: “Classification and Discovery in Large Astronomical Surveys”. AIP, 2008. http://dx.doi.org/10.1063/1.3059075.

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Kurdyukov, V. N., and T. V. Lebedeva. "ANALYSIS OF MEASURES TO REDUCE ECOLOGICAL AND ECONOMIC DAMAGE FROM AUTOMOBILE TRANSPORT." In STATE AND DEVELOPMENT PROSPECTS OF AGRIBUSINESS. DSTU-PRINT, 2020. http://dx.doi.org/10.23947/interagro.2020.1.643-646.

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The article considers common classifications of measures to reduce environmentaleconomic damage from motor vehicles. Classification from the point of view of control impact is proposed, which allows to take into account relations between the state and citizens in the field of reduction of negative impact of motor vehicles on the environment. The analysis of the classification made it possible to identify areas of activity for improving the efficiency of management impacts, taking into account the incentives of citizens to comply with the requirements of the legislation and to create conditions for their exceeding. Increasing the efficiency of resource allocation in the Territory will allow the released funds to be allocated to the development of industry, agriculture, education and science.
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"Statistical Analysis of the Human EEG during RF Exposure from Mobile Phones: An Alternative Method to Analysis of the EEG in Frequency Bands." In The First International Workshop on Biosignal Processing and Classification. SciTePress - Science and and Technology Publications, 2005. http://dx.doi.org/10.5220/0001197301670174.

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Igasheva, Anastasiia Sergeevna. "LINGUISTIC PECULIARITIES OF PUN, ITS TYPOLOGY AND CLASSIFICATION." In Сollection of articles. Publishing house Sreda, 2019. http://dx.doi.org/10.31483/r-32974.

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This article is focuses on the analysis of pun as one of the categories of wordplay its manifestation in one-liner jokes in English. The data of this study is all of one-line jokes containing puns which were collected on fiction material and online sources. Based on the analysis of various classifications, a new pun classification is defined as one of the types of word games.
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Reports on the topic "Classification analysi"

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Furey, John, Austin Davis, and Jennifer Seiter-Moser. Natural language indexing for pedoinformatics. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/41960.

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The multiple schema for the classification of soils rely on differing criteria but the major soil science systems, including the United States Department of Agriculture (USDA) and the international harmonized World Reference Base for Soil Resources soil classification systems, are primarily based on inferred pedogenesis. Largely these classifications are compiled from individual observations of soil characteristics within soil profiles, and the vast majority of this pedologic information is contained in nonquantitative text descriptions. We present initial text mining analyses of parsed text in the digitally available USDA soil taxonomy documentation and the Soil Survey Geographic database. Previous research has shown that latent information structure can be extracted from scientific literature using Natural Language Processing techniques, and we show that this latent information can be used to expedite query performance by using syntactic elements and part-of-speech tags as indices. Technical vocabulary often poses a text mining challenge due to the rarity of its diction in the broader context. We introduce an extension to the common English vocabulary that allows for nearly-complete indexing of USDA Soil Series Descriptions.
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D. W. Gwyn. QA CLASSIFICATION ANALYSIS OF GROUND SUPPORT SYSTEMS. Office of Scientific and Technical Information (OSTI), October 1996. http://dx.doi.org/10.2172/891530.

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Jimenez, Luis O., Miguel Velez, and Shawn Hunt. Unsupervised Classification System for Hyperspectral Data Analysis. Fort Belvoir, VA: Defense Technical Information Center, May 2001. http://dx.doi.org/10.21236/ada398803.

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Santos, Eunice E. Social Networks Analysis: Classification, Evaluation, and Methodologies. Fort Belvoir, VA: Defense Technical Information Center, February 2011. http://dx.doi.org/10.21236/ada567185.

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Sukittanon, Somsak, Les E. Atlas, James W. Pitton, and Jack McLaughlin. Non-Stationary Signal Classification Using Joint Frequency Analysis. Fort Belvoir, VA: Defense Technical Information Center, January 2003. http://dx.doi.org/10.21236/ada436792.

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HOBART, R. L. B-Cell waste classification sampling and analysis plan. Office of Scientific and Technical Information (OSTI), September 1999. http://dx.doi.org/10.2172/797998.

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Sopher, Ariana M., Sally A. Shoop, Jesse Jr M. Stanley, and Brian T. Tracy. Image Analysis and Classification Based on Soil Strength. Fort Belvoir, VA: Defense Technical Information Center, August 2016. http://dx.doi.org/10.21236/ad1014532.

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McLaughlin, Jack, Scott Philips, and James Pitton. Perceptually-Driven Signal Analysis for Acoustic Event Classification. Fort Belvoir, VA: Defense Technical Information Center, September 2007. http://dx.doi.org/10.21236/ada476810.

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Ramm-Granberg, Tynan, F. Rocchio, Catharine Copass, Rachel Brunner, and Eric Nelsen. Revised vegetation classification for Mount Rainier, North Cascades, and Olympic national parks: Project summary report. National Park Service, February 2021. http://dx.doi.org/10.36967/nrr-2284511.

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Field crews recently collected more than 10 years of classification and mapping data in support of the North Coast and Cascades Inventory and Monitoring Network (NCCN) vegetation maps of Mount Rainier (MORA), Olympic (OLYM), and North Cascades (NOCA) National Parks. Synthesis and analysis of these 6000+ plots by Washington Natural Heritage Program (WNHP) and Institute for Natural Resources (INR) staff built on the foundation provided by the earlier classification work of Crawford et al. (2009). These analyses provided support for most of the provisional plant associations in Crawford et al. (2009), while also revealing previously undescribed vegetation types that were not represented in the United States National Vegetation Classification (USNVC). Both provisional and undescribed types have since been submitted to the USNVC by WNHP staff through a peer-reviewed process. NCCN plots were combined with statewide forest and wetland plot data from the US Forest Service (USFS) and other sources to create a comprehensive data set for Washington. Analyses incorporated Cluster Analysis, Nonmetric Multidimensional Scaling (NMS), Multi-Response Permutation Procedure (MRPP), and Indicator Species Analysis (ISA) to identify, vet, and describe USNVC group, alliance, and association distinctions. The resulting revised classification contains 321 plant associations in 99 alliances. A total of 54 upland associations were moved through the peer review process and are now part of the USNVC. Of those, 45 were provisional or preliminary types from Crawford et al. (2009), with 9 additional new associations that were originally identified by INR. WNHP also revised the concepts of 34 associations, wrote descriptions for 2 existing associations, eliminated/archived 2 associations, and created 4 new upland alliances. Finally, WNHP created 27 new wetland alliances and revised or clarified an additional 21 as part of this project (not all of those occur in the parks). This report and accompanying vegetation descriptions, keys and synoptic and environmental tables (all products available from the NPS Data Store project reference: https://irma.nps.gov/DataStore/Reference/Profile/2279907) present the fruit of these combined efforts: a comprehensive, up-to-date vegetation classification for the three major national parks of Washington State.
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Han, Euihong, and George Karypis. Centroid-Based Document Classification Algorithms: Analysis & Experimental Results. Fort Belvoir, VA: Defense Technical Information Center, March 2000. http://dx.doi.org/10.21236/ada439538.

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