PCA (Principal Component Analysis,PCA)
2014-11-09
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Principal component analysis (PCA) is a statistical procedure that can find the principal factors among a set of possibly correlated variables. It can hit the very nature of things and make a complex task simple. The purpose of computing principal component is to project the high-dimensional data into a low dimensional space.
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PrincipalComponentAnalysisPCA
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