High-dimensional analysis of semidefinite relaxations for sparse principal components

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Date: 2009-11-08 19:20:38 Matrix theory Singular value decomposition Data analysis Multivariate statistics Matrices Eigenvalues and eigenvectors Principal component analysis Covariance matrix Matrix Algebra Linear algebra Mathematics		High-dimensional analysis of semidefinite relaxations for sparse principal components Add to Reading List Source URL: www.eecs.berkeley.edu Download Document from Source Website File Size: 471,04 KB Share Document on Facebook

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