Zaloguj się

Gotowe bibliografie tematyczne / Principal components analysis / Artykuły w czasopismach

Artykuły w czasopismach na temat „Principal components analysis”

Kliknij ten link, aby zobaczyć inne rodzaje publikacji na ten temat: Principal components analysis.

Autor: Grafiati

Data publikacji: 4 czerwca 2021

Data aktualizacji: 30 lipca 2024

Utwórz poprawne odniesienie w stylach APA, MLA, Chicago, Harvard i wielu innych

Wybierz rodzaj źródła:

Sprawdź 50 najlepszych artykułów w czasopismach naukowych na temat „Principal components analysis”.

Przycisk „Dodaj do bibliografii” jest dostępny obok każdej pracy w bibliografii. Użyj go – a my automatycznie utworzymy odniesienie bibliograficzne do wybranej pracy w stylu cytowania, którego potrzebujesz: APA, MLA, Harvard, Chicago, Vancouver itp.

Możesz również pobrać pełny tekst publikacji naukowej w formacie „.pdf” i przeczytać adnotację do pracy online, jeśli odpowiednie parametry są dostępne w metadanych.

Przeglądaj artykuły w czasopismach z różnych dziedzin i twórz odpowiednie bibliografie.

1

Whitlark, David, i George H. Dunteman. "Principal Components Analysis". Journal of Marketing Research 27, nr 2 (maj 1990): 243. http://dx.doi.org/10.2307/3172855.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

2

Kim, Sung-Hoon, i George H. Dunteman. "Principal Components Analysis". Journal of Educational Statistics 16, nr 2 (1991): 141. http://dx.doi.org/10.2307/1165117.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

3

Fujiwara, Masakazu, Tomohiro Minamidani, Isamu Nagai i Hirofumi Wakaki. "Principal Components Regression by Using Generalized Principal Components Analysis". JOURNAL OF THE JAPAN STATISTICAL SOCIETY 43, nr 1 (2013): 57–78. http://dx.doi.org/10.14490/jjss.43.57.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

4

Abegaz, Fentaw, Kridsadakorn Chaichoompu, Emmanuelle Génin, David W. Fardo, Inke R. König, Jestinah M. Mahachie John i Kristel Van Steen. "Principals about principal components in statistical genetics". Briefings in Bioinformatics 20, nr 6 (14.09.2018): 2200–2216. http://dx.doi.org/10.1093/bib/bby081.

Pełny tekst źródła

Streszczenie:

Abstract Principal components (PCs) are widely used in statistics and refer to a relatively small number of uncorrelated variables derived from an initial pool of variables, while explaining as much of the total variance as possible. Also in statistical genetics, principal component analysis (PCA) is a popular technique. To achieve optimal results, a thorough understanding about the different implementations of PCA is required and their impact on study results, compared to alternative approaches. In this review, we focus on the possibilities, limitations and role of PCs in ancestry prediction, genome-wide association studies, rare variants analyses, imputation strategies, meta-analysis and epistasis detection. We also describe several variations of classic PCA that deserve increased attention in statistical genetics applications.

Style APA, Harvard, Vancouver, ISO itp.

5

Voegtlin, Thomas. "Recursive principal components analysis". Neural Networks 18, nr 8 (październik 2005): 1051–63. http://dx.doi.org/10.1016/j.neunet.2005.07.005.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

6

Maćkiewicz, Andrzej, i Waldemar Ratajczak. "Principal components analysis (PCA)". Computers & Geosciences 19, nr 3 (marzec 1993): 303–42. http://dx.doi.org/10.1016/0098-3004(93)90090-r.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

7

Yendle, Peter W., i Halliday J. H. MacFie. "Discriminant principal components analysis". Journal of Chemometrics 3, nr 4 (wrzesień 1989): 589–600. http://dx.doi.org/10.1002/cem.1180030407.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

8

Saegusa, Ryo, Hitoshi Sakano i Shuji Hashimoto. "Nonlinear principal component analysis to preserve the order of principal components". Neurocomputing 61 (październik 2004): 57–70. http://dx.doi.org/10.1016/j.neucom.2004.03.004.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

9

Rutledge, Douglas N. "Comparison of Principal Components Analysis, Independent Components Analysis and Common Components Analysis". Journal of Analysis and Testing 2, nr 3 (lipiec 2018): 235–48. http://dx.doi.org/10.1007/s41664-018-0065-5.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

10

Boudou, Alain, i Sylvie Viguier-Pla. "Principal components analysis and cyclostationarity". Journal of Multivariate Analysis 189 (maj 2022): 104875. http://dx.doi.org/10.1016/j.jmva.2021.104875.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

11

Bahashwan, Ameerah O., Zakiah I. Kalantan i Samia A. Adham. "Double gamma principal components analysis". Applied Mathematical Sciences 12, nr 11 (2018): 523–33. http://dx.doi.org/10.12988/ams.2018.8455.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

12

Whitlark, David. "Book Review: Principal Components Analysis". Journal of Marketing Research 27, nr 2 (maj 1990): 243. http://dx.doi.org/10.1177/002224379002700216.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

13

Harris, Paul, Chris Brunsdon i Martin Charlton. "Geographically weighted principal components analysis". International Journal of Geographical Information Science 25, nr 10 (październik 2011): 1717–36. http://dx.doi.org/10.1080/13658816.2011.554838.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

14

López-Rubio, Ezequiel, Juan Miguel Ortiz-de-Lazcano-Lobato, José Muñoz-Pérez i José Antonio Gómez-Ruiz. "Principal Components Analysis Competitive Learning". Neural Computation 16, nr 11 (1.11.2004): 2459–81. http://dx.doi.org/10.1162/0899766041941880.

Pełny tekst źródła

Streszczenie:

We present a new neural model that extends the classical competitive learning by performing a principal components analysis (PCA) at each neuron. This model represents an improvement with respect to known local PCA methods, because it is not needed to present the entire data set to the network on each computing step. This allows a fast execution while retaining the dimensionality-reduction properties of the PCA. Furthermore, every neuron is able to modify its behavior to adapt to the local dimensionality of the input distribution. Hence, our model has a dimensionality estimation capability. The experimental results we present show the dimensionality-reduction capabilities of the model with multisensor images.

Style APA, Harvard, Vancouver, ISO itp.

15

Sainani, Kristin L. "Introduction to Principal Components Analysis". PM&R 6, nr 3 (22.02.2014): 275–78. http://dx.doi.org/10.1016/j.pmrj.2014.02.001.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

16

CARDOT, HERVÉ. "Conditional Functional Principal Components Analysis". Scandinavian Journal of Statistics 34, nr 2 (czerwiec 2007): 317–35. http://dx.doi.org/10.1111/j.1467-9469.2006.00521.x.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

17

Fellus, Jerome, David Picard i Philippe-Henri Gosselin. "Asynchronous gossip principal components analysis". Neurocomputing 169 (grudzień 2015): 262–71. http://dx.doi.org/10.1016/j.neucom.2014.11.076.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

18

CRITCHLEY, FRANK. "Influence in principal components analysis". Biometrika 72, nr 3 (1985): 627–36. http://dx.doi.org/10.1093/biomet/72.3.627.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

19

McCown, William, Judith Johnson i Thomas Petzel. "Procrastination, a principal components analysis". Personality and Individual Differences 10, nr 2 (styczeń 1989): 197–202. http://dx.doi.org/10.1016/0191-8869(89)90204-3.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

20

Schneeweiss, H., i H. Mathes. "Factor Analysis and Principal Components". Journal of Multivariate Analysis 55, nr 1 (październik 1995): 105–24. http://dx.doi.org/10.1006/jmva.1995.1069.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

21

Chapman, R. M., i J. W. Mccrary. "EP Component Identification and Measurement by Principal Components-Analysis". Brain and Cognition 27, nr 3 (kwiecień 1995): 288–310. http://dx.doi.org/10.1006/brcg.1995.1024.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

22

Chapman, Robert M., John W. McCrary, R. M. Chapman i J. W. Mccrary. "EP Component Identification and Measurement by Principal Components-Analysis". Brain and Cognition 28, nr 3 (sierpień 1995): 342. http://dx.doi.org/10.1006/brcg.1995.1262.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

23

Guo, Hao, Kurt J. Marfurt i Jianlei Liu. "Principal component spectral analysis". GEOPHYSICS 74, nr 4 (lipiec 2009): P35—P43. http://dx.doi.org/10.1190/1.3119264.

Pełny tekst źródła

Streszczenie:

Spectral decomposition methods help illuminate lateral changes in porosity and thin-bed thickness. For broadband data, an interpreter might generate 80 or more somewhat redundant amplitude and phase spectral components spanning the usable seismic bandwidth at [Formula: see text] intervals. Large numbers of components can overload not only the interpreter but also the display hardware. We have used principal component analysis to reduce the multiplicity of spectral data and enhance the most energetic trends inside the data. Each principal component spectrum is mathematically orthogonal to other spectra, with the importance of each spectrum being proportional to the size of its corresponding eigenvalue. Principal components are ideally suited to identify geologic features that give rise to anomalous moderate- to high-amplitude spectra. Unlike the input spectral magnitude and phase components, the principal component spectra are not direct indicators of bed thickness. By combining the variability of multiple components, principal component spectra highlight stratigraphic features that can be interpreted using a seismic geomorphology workflow. By mapping the three largest principal components using the three primary colors of red, green, and blue, we could represent more than 80% of the spectral variance with a single image. We have applied and validated this workflow using a broadband data volume containing channels draining an unconformity, which was acquired over the Central Basin Platform, Texas, U.S.A. Principal component analysis reveals a channel system with only a few output data volumes. The same process provides the interpreter with flexibility to remove any unwanted high-amplitude geologic trends or random noise from the original spectral components by eliminating those principal components that do not aid in delineation of prospective features with their interpretation during the reconstruction process.

Style APA, Harvard, Vancouver, ISO itp.

24

Tanaka, Yukata. "Sensitivity analysis in principal component analysis:influence on the subspace spanned by principal components." Communications in Statistics - Theory and Methods 17, nr 9 (styczeń 1988): 3157–75. http://dx.doi.org/10.1080/03610928808829796.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

25

KARAKUZULU, Cihan, İbrahim Halil GÜMÜŞ, Serkan GÜLDAL i Mustafa YAVAŞ. "Determining The Number of Principal Components with Schur's Theorem in Principal Component Analysis". Bitlis Eren Üniversitesi Fen Bilimleri Dergisi 12, nr 2 (23.02.2023): 299–306. http://dx.doi.org/10.17798/bitlisfen.1144360.

Pełny tekst źródła

Streszczenie:

Principal Component Analysis is a method for reducing the dimensionality of datasets while also limiting information loss. It accomplishes this by producing uncorrelated variables that maximize variance one after the other. The accepted criterion for evaluating a Principal Component’s (PC) performance is λ_j/tr(S) where tr(S) denotes the trace of the covariance matrix S. It is standard procedure to determine how many PCs should be maintained using a predetermined percentage of the total variance. In this study, the diagonal elements of the covariance matrix are used instead of the eigenvalues to determine how many PCs need to be considered to obtain the defined threshold of the total variance. For this, an approach which uses one of the important theorems of majorization theory is proposed. Based on the tests, this approach lowers the computational costs.

Style APA, Harvard, Vancouver, ISO itp.

26

Sundararajan, Raanju R. "Principal component analysis using frequency components of multivariate time series". Computational Statistics & Data Analysis 157 (maj 2021): 107164. http://dx.doi.org/10.1016/j.csda.2020.107164.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

27

Mehlman, David W., Ursula L. Shepherd i Douglas A. Kelt. "Bootstrapping Principal Components Analysis: A Comment". Ecology 76, nr 2 (marzec 1995): 640–43. http://dx.doi.org/10.2307/1941219.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

28

Prvan, T., i A. W. Bowman. "Nonparametric time dependent principal components analysis." ANZIAM Journal 44 (1.04.2003): 627. http://dx.doi.org/10.21914/anziamj.v44i0.699.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

29

Kargi, H. "Principal components analysis for borate mapping". International Journal of Remote Sensing 28, nr 8 (kwiecień 2007): 1805–17. http://dx.doi.org/10.1080/01431160600905003.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

30

FEDERER, W. T., C. E. MCCULLOCH i N. J. MILES-MCDERMOTT. "ILLUSTRATIVE EXAMPLES OF PRINCIPAL COMPONENTS ANALYSIS". Journal of Sensory Studies 2, nr 1 (marzec 1987): 37–54. http://dx.doi.org/10.1111/j.1745-459x.1987.tb00185.x.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

31

Wang, F. K., i James C. Chen. "CAPABILITY INDEX USING PRINCIPAL COMPONENTS ANALYSIS". Quality Engineering 11, nr 1 (wrzesień 1998): 21–27. http://dx.doi.org/10.1080/08982119808919208.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

32

Besse, Philippe, i J. O. Ramsay. "Principal components analysis of sampled functions". Psychometrika 51, nr 2 (czerwiec 1986): 285–311. http://dx.doi.org/10.1007/bf02293986.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

33

Shi, L. "Local influence in principal components analysis". Biometrika 84, nr 1 (1.03.1997): 175–86. http://dx.doi.org/10.1093/biomet/84.1.175.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

34

Zhu, Mu. "Discriminant analysis with common principal components". Biometrika 93, nr 4 (1.12.2006): 1018–24. http://dx.doi.org/10.1093/biomet/93.4.1018.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

35

LÓPEZ-RUBIO, EZEQUIEL, i JUAN MIGUEL ORTIZ-DE-LAZCANO-LOBATO. "DYNAMIC COMPETITIVE PROBABILISTIC PRINCIPAL COMPONENTS ANALYSIS". International Journal of Neural Systems 19, nr 02 (kwiecień 2009): 91–103. http://dx.doi.org/10.1142/s0129065709001860.

Pełny tekst źródła

Streszczenie:

We present a new neural model which extends the classical competitive learning (CL) by performing a Probabilistic Principal Components Analysis (PPCA) at each neuron. The model also has the ability to learn the number of basis vectors required to represent the principal directions of each cluster, so it overcomes a drawback of most local PCA models, where the dimensionality of a cluster must be fixed a priori. Experimental results are presented to show the performance of the network with multispectral image data.

Style APA, Harvard, Vancouver, ISO itp.

36

Zhang, Zhongheng, i Adela Castelló. "Principal components analysis in clinical studies". Annals of Translational Medicine 5, nr 17 (wrzesień 2017): 351. http://dx.doi.org/10.21037/atm.2017.07.12.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

37

Monmonier, Mark S. "A Spatially-Controlled Principal Components Analysis". Geographical Analysis 2, nr 2 (3.09.2010): 192–95. http://dx.doi.org/10.1111/j.1538-4632.1970.tb00156.x.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

38

Ma, Jianzhong, i Christopher I. Amos. "Principal Components Analysis of Population Admixture". PLoS ONE 7, nr 7 (9.07.2012): e40115. http://dx.doi.org/10.1371/journal.pone.0040115.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

39

Ekvall, Karl Oskar. "Targeted principal components regression". Journal of Multivariate Analysis 190 (lipiec 2022): 104995. http://dx.doi.org/10.1016/j.jmva.2022.104995.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

40

Li, Zhaokai, Zihua Chai, Yuhang Guo, Wentao Ji, Mengqi Wang, Fazhan Shi, Ya Wang, Seth Lloyd i Jiangfeng Du. "Resonant quantum principal component analysis". Science Advances 7, nr 34 (sierpień 2021): eabg2589. http://dx.doi.org/10.1126/sciadv.abg2589.

Pełny tekst źródła

Streszczenie:

Principal component analysis (PCA) has been widely adopted to reduce the dimension of data while preserving the information. The quantum version of PCA (qPCA) can be used to analyze an unknown low-rank density matrix by rapidly revealing the principal components of it, i.e., the eigenvectors of the density matrix with the largest eigenvalues. However, because of the substantial resource requirement, its experimental implementation remains challenging. Here, we develop a resonant analysis algorithm with minimal resource for ancillary qubits, in which only one frequency-scanning probe qubit is required to extract the principal components. In the experiment, we demonstrate the distillation of the first principal component of a 4 × 4 density matrix, with an efficiency of 86.0% and a fidelity of 0.90. This work shows the speedup ability of quantum algorithm in dimension reduction of data and thus could be used as part of quantum artificial intelligence algorithms in the future.

Style APA, Harvard, Vancouver, ISO itp.

41

Ferré, Louis. "Selection of components in principal component analysis: A comparison of methods". Computational Statistics & Data Analysis 19, nr 6 (czerwiec 1995): 669–82. http://dx.doi.org/10.1016/0167-9473(94)00020-j.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

42

Cadavid, A. C., J. K. Lawrence i A. Ruzmaikin. "Principal Components and Independent Component Analysis of Solar and Space Data". Solar Physics 248, nr 2 (23.09.2007): 247–61. http://dx.doi.org/10.1007/s11207-007-9026-2.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

43

Neal, Brent, i John C. Russ. "Principal Components Analysis of Multispectral Image Data". Microscopy Today 12, nr 5 (wrzesień 2004): 36–39. http://dx.doi.org/10.1017/s1551929500056297.

Pełny tekst źródła

Streszczenie:

Principal components analysis of multivariate data sets is a standard statistical method that was developed in the early halt or the 20th century. It provides researchers with a method for transforming their source data axes into a set of orthogonal principal axes and ranks. The rank for each axis in the principal set represents the significance of that axis as defined by the variance in the data along that axis. Thus, the first principal axis is the one with the greatest amount of scatter in the data and consequently the greatest amount of contrast and information, while the last principal axis represents the least amount of information.

Style APA, Harvard, Vancouver, ISO itp.

44

Sundberg, Per. "Shape and Size-Constrained Principal Components Analysis". Systematic Zoology 38, nr 2 (czerwiec 1989): 166. http://dx.doi.org/10.2307/2992385.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

45

Ellis, M. E. "Value at Risk Using Principal Components Analysis". CFA Digest 28, nr 2 (maj 1998): 64–65. http://dx.doi.org/10.2469/dig.v28.n2.275.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

46

Kokoszka, Piotr, Stilian Stoev i Qian Xiong. "Principal components analysis of regularly varying functions". Bernoulli 25, nr 4B (listopad 2019): 3864–82. http://dx.doi.org/10.3150/19-bej1113.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

47

Singh, Manoj K. "Value at Risk Using Principal Components Analysis". Journal of Portfolio Management 24, nr 1 (31.10.1997): 101–12. http://dx.doi.org/10.3905/jpm.1997.409633.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

48

Hall, Peter, i Mohammad Hosseini-Nasab. "On properties of functional principal components analysis". Journal of the Royal Statistical Society: Series B (Statistical Methodology) 68, nr 1 (luty 2006): 109–26. http://dx.doi.org/10.1111/j.1467-9868.2005.00535.x.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

49

Hosseinkashi, Yasaman, i Khalil Shafie. "Persian Handwriting Analysis Using Functional Principal Components". Journal of Statistical Research of Iran 6, nr 2 (1.03.2010): 141–60. http://dx.doi.org/10.18869/acadpub.jsri.6.2.141.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

50

Real, Pedro L., James A. Moore i James D. Newberry. "Principal components analysis of tree stem profiles". Canadian Journal of Forest Research 19, nr 12 (1.12.1989): 1538–42. http://dx.doi.org/10.1139/x89-234.

Pełny tekst źródła

Streszczenie:

The use of principal components analysis to study tree stem profiles was critically analyzed during 1085 destructively sampled Douglas-fir trees and 1260 simulated trees with known geometric shapes. Interpretation about the meaning of each principal component is provided and contrasted with others in the forestry literature. Nearly identical results with both the destructively sampled and simulated trees, along with certain theoretical consideratons, indicate that the principal components are related to tree form as opposed to tree profile or taper. Therefore, principal components analysis is a useful analytical tool for stratifying trees into different form groups.

Style APA, Harvard, Vancouver, ISO itp.

Oferujemy zniżki na wszystkie plany premium dla autorów, których prace zostały uwzględnione w tematycznych zestawieniach literatury. Skontaktuj się z nami, aby uzyskać unikalny kod promocyjny!