Description: To mean the number of calculated co-covariance matrix and its eigenvalues and eigenvectors to calculate the covariance matrix characterized by a value greater than the threshold value 4, descending characteristic value 5, remove the smaller eigenvalue 6, to to swap large characteristic value (usually not this step) 7, merge the selected feature value of 8, to select the corresponding eigenvalues and eigenvectors 9, calculating the primary component of the whitening matrix 10, extraction
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Wang_PCA.m
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