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 wellconditioned {\it convex} optimization problems... (read more)
PDFMETHOD  TYPE  

PCA

Dimensionality Reduction 