KPCA kernel principal component analysis algorithm through nuclear transformation samples are mapped to linearly separable high-dimensional space, then PCA dimensionality reduction. Including training, testing, recognize the entire proce

KPCA绠楁硶
..........\classif.m
..........\constructKernel.m
..........\EuDist2.m
..........\KPCA.m
..........\Main.m
..........\mySVD.m
..........\ORL_32x32.mat
..........\ORL_64x64.mat
..........\ReadSample_ORL.m
..........\success.m
..........\YaleB_32x32.mat
..........\Yale_32x32.mat
..........\Yale_64x64.mat

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