Principal Component Analysis - Columbia University
matrix is to utilize the singular value decomposition of S = A0A where A is a matrix consisting of the eigenvectors of S and is a diagonal matrix whose diagonal elements are the eigenvalues corresponding to each eigenvector. Creating a reduced dimensionality projection of X is accomplished by selecting the q largest eigenvalues in and retaining ...
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