Fast and Simple PCA via Convex Optimization

18 Sep 2015Dan GarberElad Hazan

The problem of principle component analysis (PCA) is traditionally solved by spectral or algebraic methods. We show how computing the leading principal component could be reduced to solving a \textit{small} number of well-conditioned {\it convex} optimization problems... (read more)

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