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Principal component analysis
Results: 1856

#	Item
801	Microsoft Word - info10.doc Add to Reading List Source URL: stat.mq.edu.au Language: English - Date: 2014-11-05 17:22:26 Analysis of variance Multivariate analysis of variance Multivariate analysis Principal component analysis Factor analysis Statistics Multivariate statistics Design of experiments
802	Appears in the Second International Conference on Audio- and Video-based Biometric Person Authentication, AVBPA’99, Washington D. C. USA, March 22-24, Comparative Assessment of Independent Component Analysis (IC Add to Reading List Source URL: www.face-rec.org Language: English - Date: 2004-08-31 03:42:36 Statistical classification Data analysis Singular value decomposition Linear discriminant analysis Principal component analysis Independent component analysis Eigenvalues and eigenvectors Eigenface Pattern recognition Statistics Multivariate statistics Machine learning
803	Electronic Journal of Statistics Vol–695 ISSN: DOI: EJS218 Functional principal components Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2009-09-20 22:43:32 Linear algebra Data analysis Singular value decomposition Matrix theory Splines Smoothing spline Smoothing Principal component analysis Tikhonov regularization Algebra Mathematics Statistics
804	Determining the number of components in a factor model from limited noisy data Shira Kritchman and Boaz Nadler1 Department of Computer Science and Applied Mathematics Weizmann Institute of Science, P.O.Box 26, Rehovot 76 Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2008-06-03 18:16:22 Data analysis Covariance and correlation Singular value decomposition Mathematical physics Summary statistics Multivariate normal distribution Principal component analysis Eigenvalues and eigenvectors Covariance matrix Statistics Algebra Mathematics
805	Fundamental Limitations of Spectral Clustering Boaz Nadler∗, Meirav Galun Department of Applied Mathematics and Computer Science Weizmann Institute of Science, Rehovot, Israelboaz.nadler,meirav.galun@weizmann.a Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2006-12-10 07:58:37 Singular value decomposition Cluster analysis Spectral clustering Information bottleneck method Eigenvalues and eigenvectors Principal component analysis Segmentation K-means clustering Graph partition Statistics Multivariate statistics Data analysis
806	This discussion paper is/has been under review for the journal Atmospheric Chemistry and Physics (ACP). Please refer to the corresponding final paper in ACP if available. Discussion Paper Atmos. Chem. Phys. Discuss., 15 Add to Reading List Source URL: www.atmos-chem-phys-discuss.net Language: English - Date: 2015-04-09 03:17:30 Matter Air pollution Atmosphere Atmospheric dispersion modeling Chemical engineering Environmental engineering Principal component analysis Mercury Chemistry Statistics Air dispersion modeling
807	Diffusion Maps, Spectral Clustering and Eigenfunctions of Fokker-Planck Operators Boaz Nadler∗ St´ephane Lafon Ronald R. Coifman Department of Mathematics, Yale University, New Haven, CT 06520. {boaz.nadler,stephane.l Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2006-05-04 10:36:46 Multivariate statistics Singular value decomposition Matrix theory Linear algebra Markov processes Eigenvalues and eigenvectors Principal component analysis Heat equation Information bottleneck method Algebra Mathematics Statistics
808	Determining the number of components in a factor model from limited noisy data Shira Kritchman and Boaz Nadler1 Department of Computer Science and Applied Mathematics Weizmann Institute of Science, P.O.Box 26, Rehovot 76 Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2008-06-03 18:16:22 Data analysis Covariance and correlation Singular value decomposition Mathematical physics Summary statistics Multivariate normal distribution Principal component analysis Eigenvalues and eigenvectors Covariance matrix Statistics Algebra Mathematics
809	SCOWLP update: 3D classification of protein-protein, -peptide, -saccharide and -nucleic acid interactions, and structure-based binding inferences across folds Add to Reading List Source URL: www.cs.yale.edu Language: English - Date: 2013-01-03 17:05:35 Matrix theory Multivariate statistics Numerical linear algebra Data analysis Principal component analysis Singular value decomposition Matrix Biplot Rank Algebra Linear algebra Mathematics
810	DO SEMIDEFINITE RELAXATIONS REALLY SOLVE SPARSE PCA? arXiv:1306.3690v1 [math.ST] 16 JunBy Robert Krauthgamer Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-06-17 20:40:45 Data analysis Singular value decomposition Matrices Covariance and correlation Linear algebra Principal component analysis Multivariate normal distribution Covariance matrix Eigenvalues and eigenvectors Statistics Algebra Mathematics

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