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Principal component analysis
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#	Item
821	1 A principal component analysis of 39 scientific impact measures. Johan Bollen1,∗ , Herbert Van de Sompel1 , Aric Hagberg2,? , and Ryan Chute1? 1 Digital Library Research and Prototyping Team, Research Library, Los A Add to Reading List Source URL: xxx.lanl.gov Language: English - Date: 2011-08-08 10:55:23 Publishing Knowledge SCImago Journal Rank Centrality Impact factor Citation impact Journal Citation Reports Journal ranking Betweenness centrality Academic publishing Bibliometrics Academia
822	A Tutorial on Principal Component Analysis Jonathon Shlens∗ Google Research Mountain View, CA 94043 Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-04-06 20:15:01 Matrices Matrix theory Singular value decomposition Multivariate statistics Principal component analysis Eigenvalues and eigenvectors Covariance matrix Kernel principal component analysis Diagonalizable matrix Algebra Linear algebra Mathematics
823	1 Learning Graphs from Signal Observations under Smoothness Prior arXiv:1406.7842v1 [cs.LG] 30 Jun 2014 Add to Reading List Source URL: web.media.mit.edu Language: English - Date: 2015-03-29 18:21:36 Singular value decomposition Graphical models Multivariate statistics Probability theory Graph theory Topology Eigenvalues and eigenvectors Principal component analysis Graph Mathematics Algebra Statistics
824	Efficient Stochastic Methods: Profiled Attacks Beyond 8 Bits Omar Choudary and Markus G. Kuhn Computer Laboratory, University of Cambridge Add to Reading List Source URL: eprint.iacr.org Language: English - Date: 2014-10-27 10:40:36 Multivariate statistics Singular value decomposition Data analysis Matrix theory Principal component analysis Linear discriminant analysis Eigenvalues and eigenvectors Multivariate normal distribution Covariance matrix Statistics Algebra Linear algebra
825	Journal of Machine Learning Research2605 Submitted 5/08; Revised 9/08; PublishedVisualizing Data using t-SNE Laurens van der Maaten Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2015-04-12 20:13:26 Dimension reduction Cluster analysis Dimension Nonlinear dimensionality reduction Semidefinite embedding Multidimensional scaling Mixture model Principal component analysis Supervised learning Statistics Multivariate statistics Machine learning
826	HTB.01.04_Me:38 AM Add to Reading List Source URL: fasdcenter.samhsa.gov Language: English - Date: 2015-04-17 15:01:54 Multivariate statistics Data analysis Data mining Clustering high-dimensional data K-means clustering Spectral clustering Hierarchical clustering Principal component analysis Kernel principal component analysis Statistics Cluster analysis Machine learning
827	A Single-Pass Algorithm for Efficiently Recovering Sparse Cluster Centers of High-dimensional Data Jinfeng Yi IBM Thomas J. Watson Research Center, Yorktown Heights, NY 10598, USA Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-02-01 17:03:30 Multivariate statistics Data analysis Data mining Clustering high-dimensional data K-means clustering Spectral clustering Hierarchical clustering Principal component analysis Kernel principal component analysis Statistics Cluster analysis Machine learning
828	Package ‘corrgram’ February 19, 2015 Type Package Title Plot a Correlogram Version 1.7 Date Add to Reading List Source URL: cran.r-project.org Language: English Covariance and correlation Multivariate statistics Statistical dependence Data analysis Principal component analysis Singular value decomposition Matrix Correlation and dependence SAS Statistics Information Science
829	JOURNAL OF CHEMOMETRICS J. Chemometrics 2005; 19: 45–54 Published online in Wiley InterScience (www.interscience.wiley.com). DOI: cem.906 Partial least squares, Beer’s law and the net analyte signal: statisti Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2006-02-15 15:59:14 Chemometrics Linear regression Principal component analysis Ordinary least squares Least squares Degrees of freedom Orthogonality Variance Statistics Regression analysis Partial least squares regression
830	Spectral Gap Error Bounds for Improving CUR Matrix Decomposition and the Nystr¨ om Method David G. Anderson Department of Mathematics Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2015-03-26 11:57:44 Numerical linear algebra Singular value decomposition Matrices Matrix theory Matrix Orthogonal matrix Rank Principal component analysis QR decomposition Algebra Linear algebra Mathematics

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