Description: Principal component analysis, said the characteristics of the samples as accurately as possible using one of the few characteristics of a group of dimension, usually the overall training sample covariance matrix of the Eigenvector as expand the base (ie, the KL axis)
To Search:
File list (Check if you may need any files):
PCA.m
Download