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Finite sample approximation results for principal component analysis：a matrix perturbation approach
Principal component analysis spiked covariance model randommatrix theory matrix perturbation phase transition
2010/3/17
Principal component analysis (PCA) is a standard tool for dimensional
reduction of a set of n observations (samples), each with
p variables. In this paper, using a matrix perturbation approach, we
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