Literatura académica sobre el tema "Non overlapping clusters"
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Artículos de revistas sobre el tema "Non overlapping clusters"
Qing, Huan. "Studying Asymmetric Structure in Directed Networks by Overlapping and Non-Overlapping Models". Entropy 24, n.º 9 (30 de agosto de 2022): 1216. http://dx.doi.org/10.3390/e24091216.
Texto completoWu, Mary, Byung Chul Ahn y Chong Gun Kim. "A Channel Reuse Procedure in Clustering Sensor Networks". Applied Mechanics and Materials 284-287 (enero de 2013): 1981–85. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.1981.
Texto completoVats, Divyanshu y José M. F. Moura. "Finding Non-Overlapping Clusters for Generalized Inference Over Graphical Models". IEEE Transactions on Signal Processing 60, n.º 12 (diciembre de 2012): 6368–81. http://dx.doi.org/10.1109/tsp.2012.2214216.
Texto completoAzizah, Anestasya Nur, Tatik Widiharih y Arief Rachman Hakim. "Kernel K-Means Clustering untuk Pengelompokan Sungai di Kota Semarang Berdasarkan Faktor Pencemaran Air". Jurnal Gaussian 11, n.º 2 (28 de agosto de 2022): 228–36. http://dx.doi.org/10.14710/j.gauss.v11i2.35470.
Texto completoLaskhmaiah, K., S. Murali Krishna y B. Eswara Reddy. "An Optimized K-means with Density and Distance-Based Clustering Algorithm for Multidimensional Spatial Databases". International Journal of Computer Network and Information Security 13, n.º 6 (8 de diciembre de 2021): 70–82. http://dx.doi.org/10.5815/ijcnis.2021.06.06.
Texto completoBalaguer-Núñez, L., M. López del Fresno, E. Solano, D. Galadí-Enríquez, C. Jordi, F. Jimenez-Esteban, E. Masana, J. Carbajo-Hijarrubia y E. Paunzen. "Clusterix 2.0: a virtual observatory tool to estimate cluster membership probability". Monthly Notices of the Royal Astronomical Society 492, n.º 4 (11 de febrero de 2020): 5811–43. http://dx.doi.org/10.1093/mnras/stz3610.
Texto completoRichette, Pascal, Marijn Vis, Sarah Ohrndorf, William Tillett, Julio Ramírez, Marlies Neuhold, Michel van Speybroeck et al. "Identification of PsA phenotypes with machine learning analytics using data from two phase III clinical trials of guselkumab in a bio-naïve population of patients with PsA". RMD Open 9, n.º 1 (marzo de 2023): e002934. http://dx.doi.org/10.1136/rmdopen-2022-002934.
Texto completoBen N'Cir, Chiheb-Eddine y Nadia Essoussi. "Using Sequences of Words for Non-Disjoint Grouping of Documents". International Journal of Pattern Recognition and Artificial Intelligence 29, n.º 03 (27 de abril de 2015): 1550013. http://dx.doi.org/10.1142/s0218001415500135.
Texto completoHimmelfarb, Sarah Talia, Nell Bond, Adaora Okoli, John Schieffelin, Jeffrey Shaffer, Robert J. Samuels y Emily J. Engel. "31. Post-ebola Syndrome Presents with Multiple Overlapping Symptom Clusters: Evidence from an Ongoing Cohort Study in Eastern Sierra Leone". Open Forum Infectious Diseases 7, Supplement_1 (1 de octubre de 2020): S16—S17. http://dx.doi.org/10.1093/ofid/ofaa417.030.
Texto completoAkhi, AH, S. Ahmed, ANMS Karim, F. Begum y MM Rohman. "Genetic divergence of exotic inbred lines of maize (Zea mays. L)". Bangladesh Journal of Agricultural Research 42, n.º 4 (27 de febrero de 2018): 665–71. http://dx.doi.org/10.3329/bjar.v42i4.35793.
Texto completoTesis sobre el tema "Non overlapping clusters"
Beka, Sylvia Enobong. "The genomics of Type 1 Diabetes susceptibility regions and effect of regulatory SNPs". Thesis, University of Hertfordshire, 2016. http://hdl.handle.net/2299/17200.
Texto completoTribou, Michael John. "Relative Pose Estimation Using Non-overlapping Multicamera Clusters". Thesis, 2014. http://hdl.handle.net/10012/8141.
Texto completoHuang, Ying-Shuo y 黃盈碩. "Non-exhaustive Clustering for Overlapping Patent Clusters Analysis". Thesis, 2007. http://ndltd.ncl.edu.tw/handle/15970598844632266402.
Texto completo國立清華大學
工業工程與工程管理學系
95
Facing the challenges from a knowledge-based economy, having a comprehensive understanding insights of technology and industry development is the basic and necessary requirement to gain competitive edges for enterprises. Consequently, enterprises apply technology forecasting techniques to assist generating useful information for further R&D strategic decisions. Nonetheless, current technology forecasting analyses base mostly on macro-indicators such as market share and growth rate rather than on specific technology development information, such as invention and patents of certain technology. In Campbell’s (1983) research, he found that patent documents often better expresses the development trend of technology when compare with ordinary scientific journals. Moreover, according to the report of WIPO (1996), patent documents can better reveal the core technology and innovation than other knowledge documents such as journal papers and technical reports. As a result, we try to incorporate patent analysis while proceed technology forecasting. In this research, a non-exhaustive clustering methodology is proposed as the basis for a novel technology forecasting system. Non-exhaustive clustering methodology allows overlapping of patent documents, which is plausible when any patent can claim multiple key technical inventions. The characteristic of non-exhaustivity emphasizes that one patent contains multiple technology breakthroughs. We use Radio Frequency Identification (RFID) as case example in this research. RFID ontology is constructed. Afterward, refined Normalized Term Frequency/Inverse Document Frequency (NTF-IDF) key-phrase extraction methodology is developed to extract representative key phrases for following clustering procedure. Finally, the non-exhaustive clustering methodology is applied to generate overlapping clusters of patents. The clustering results and analysis of growth trend for each cluster provide users a clear view of patent distribution in a given broad technology area (e.g., RFID). The expected results of this research contain extracting domain key phrases precisely, using the non-exhaustive clustering results as input data of technology forecasting and finally visualize the technology trend. This system enables R&D engineers and managers to find the existing patents related to their interested technical domains (clusters) and enable them to strengthen their R&D efforts offensively and defensively.
Libros sobre el tema "Non overlapping clusters"
Palfrey, Simon. Formaction. Editado por Henry S. Turner. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199641352.013.18.
Texto completoCapítulos de libros sobre el tema "Non overlapping clusters"
Singh, Sarjinder. "Non-Overlapping, Overlapping, Post, and Adaptive Cluster Sampling". En Advanced Sampling Theory with Applications, 765–828. Dordrecht: Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-007-0789-4_9.
Texto completoSarkar, Anasua y Ujjwal Maulik. "Cancer Gene Expression Data Analysis Using Rough Based Symmetrical Clustering". En Handbook of Research on Computational Intelligence for Engineering, Science, and Business, 699–715. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2518-1.ch027.
Texto completo"Graph Mining Approaches to Study Volunteer Relationships in Sourceforge.net". En Free and Open Source Software in Modern Data Science and Business Intelligence, 117–39. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3707-6.ch007.
Texto completoVariego, Jorge. "Harmony (Exercises 21–40)". En Composing with Constraints, 23–42. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780190057237.003.0003.
Texto completoPeneder, Michael y Andreas Resch. "Finance and economic evolution". En Schumpeter's Venture Money, 138–68. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198804383.003.0007.
Texto completoSchmidt, Vivien A. "Conclusion How to (Re-)Envision Eurozone Governance". En Europe's Crisis of Legitimacy, 291–304. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198797050.003.0011.
Texto completoActas de conferencias sobre el tema "Non overlapping clusters"
tava, Martin y Pavel Tvrdík. "Overlapping Non-dedicated Clusters Architecture". En 2009 International Conference on Computer Engineering and Technology (ICCET 2009). IEEE, 2009. http://dx.doi.org/10.1109/iccet.2009.66.
Texto completoStava, Martin y Pavel Tvrdik. "Security System for Overlapping Non-dedicated Clusters". En 2009 IEEE International Symposium on Parallel and Distributed Processing with Applications. IEEE, 2009. http://dx.doi.org/10.1109/ispa.2009.19.
Texto completoAkyamac, Ahmet A. y Thomas P. Chu. "Non-overlapping rings: A new architecture for designing switch clusters in data centers". En 2013 IEEE Globecom Workshops (GC Wkshps). IEEE, 2013. http://dx.doi.org/10.1109/glocomw.2013.6825023.
Texto completoPeng, Jinjia, Yang Wang, Huibing Wang, Zhao Zhang, Xianping Fu y Meng Wang. "Unsupervised Vehicle Re-identification with Progressive Adaptation". En Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/127.
Texto completoKuchumov, R. y V. Korkhov. "HPC WORKLOAD BALANCING ALGORITHM FOR CO- SCHEDULING ENVIRONMENTS". En 9th International Conference "Distributed Computing and Grid Technologies in Science and Education". Crossref, 2021. http://dx.doi.org/10.54546/mlit.2021.21.34.001.
Texto completoMahdavi, Arash y Eric Mockensturm. "A New Hierarchical Technique for the Multiscale Modeling of Carbon Nanostructures". En ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-82988.
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