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Principal component analysis
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#	Item
201	CS168: The Modern Algorithmic Toolbox Lecture #9: The Singular Value Decomposition (SVD) and Low-Rank Matrix Approximations Tim Roughgarden & Gregory Valiant April 27, 2015 Add to Reading List Source URL: web.stanford.edu Language: English - Date: 2015-05-11 19:23:32 Algebra Linear algebra Mathematics Matrix theory Singular value decomposition Numerical linear algebra Dimension reduction Principal component analysis Eigenvalues and eigenvectors Matrix Orthogonal matrix Rank
202	Statistica Sinica), FUNCTIONAL PRINCIPAL COMPONENT ANALYSIS FOR LONGITUDINAL AND SURVIVAL DATA Fang Yao University of Toronto Add to Reading List Source URL: www.utstat.utoronto.ca Language: English - Date: 2012-12-14 17:12:16
203	Less is More: Sparsity in Principal Component Analysis and in Linear Systems Laurent El Ghaoui EECS dept., UC Berkeley Add to Reading List Source URL: www.ims.nus.edu.sg Language: English - Date: 2010-01-12 23:03:25
204	Matrix Factorization and Collaborative Filtering Daryl Lim University of California, San Diego February 7, 2013 Add to Reading List Source URL: acsweb.ucsd.edu Language: English - Date: 2013-02-07 10:51:41 Algebra Linear algebra Mathematics Multivariate statistics Matrix theory Covariance and correlation Dimension reduction Principal component analysis Non-negative matrix factorization Matrix Covariance matrix Singular value decomposition
205	File = PDTREE Mesquite.doc, copyright by Theodore Garland, Jr. This is version of 16 NovBegun 18 March 2005 by modification of PDINSTRW.DOC, which is the documentation for the DOS PDAP programs. This is just a s Add to Reading List Source URL: www.biology.ucr.edu Language: English - Date: 2006-11-16 15:20:48 Statistics Knowledge Regression analysis Estimation theory Actuarial science Linear regression Logistic regression Errors and residuals Data transformation Phylogenetic comparative methods Principal component analysis Projection matrix
206	PDF Document Add to Reading List Source URL: www.cs.yale.edu Language: English - Date: 2013-07-10 03:55:15 Algebra Linear algebra Mathematics Matrix theory Matrices Numerical linear algebra Matrix Singular value decomposition Principal component analysis Hermitian matrix Non-negative matrix factorization LU decomposition
207	PDF Document Add to Reading List Source URL: web.stanford.edu Language: English - Date: 2015-05-11 19:23:32 Algebra Linear algebra Mathematics Dimension reduction Matrix theory Numerical linear algebra Matrices Eigenvalues and eigenvectors Principal component analysis Matrix Orthogonal matrix Power iteration
208	BIO Web of Conferences 1, DOI: bioconf © Owned by the authors, published by EDP Sciences, 2011 Can Principal Component Analysis be Applied in Real Time to Reduce the Dimension of Human M Add to Reading List Source URL: www.bio-conferences.org Language: English Machine learning Principal component analysis Singular value decomposition Dimension reduction Variance Cross-validation Analysis Statistics Multivariate statistics Data analysis
209	The Geometric Median on Riemannian Manifolds with Application to Robust Atlas Estimation P. Thomas Fletcher a,∗ Suresh Venkatasubramanian a Sarang Joshi a a University of Utah, Salt Lake City, Utah, United States Add to Reading List Source URL: www2.imm.dtu.dk Language: English - Date: 2009-08-03 03:49:53 Riemannian geometry Multivariate statistics Curvature Differential topology Geometric median Riemannian manifold Sectional curvature Tensor Principal component analysis Geometry Differential geometry Mathematical analysis
210	Incremental Learning of Nonparametric Bayesian Mixture Models Ryan Gomes∗ Max Welling† ∗ Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2008-04-09 01:39:03 Cluster analysis Data analysis Estimation theory Expectation–maximization algorithm Dirichlet process Variational Bayesian methods Mixture model Principal component analysis Kernel principal component analysis Statistics Multivariate statistics Machine learning

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