this principle component analysis(PCA) that is used for linear dimensionality reduction and feature extraction as well as the nonlinear form of PCA which is KPCA and how PCA is used for Active shape models

kPCA_v3.1\1207.3538.pdf
.........\code\PCA.m
.........\....\distanceMatrix.m
.........\....\kPCA.m
.........\....\kPCA_NewData.m
.........\....\kPCA_PreImage.m
.........\....\kernel.m
.........\....\kernel_NewData.m
.........\demo1\SyntheticData.mat
.........\.....\demo_SyntheticData.m
.........\....2\YaleFaceData.mat
.........\.....\demo_YaleFace.m
.........\....3\demo_faceASM_PCA.m
.........\.....\demo_faceASM_kPCA.m
.........\.....\drawFaceModel.m
.........\.....\points_20.mat
license.txt

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