文件名称:kPCA_v3.1 (1)
介绍说明－－下载内容均来自于网络，请自行研究使用
KPCA用于数据特征的降维，先通过核方法，将样本映射到高维空间，再进行主成分分析过程。(KPCA is used to reduce the dimension of data, first through the kernel method, the sample is mapped to high-dimensional space, and then the principal component analysis process.)
相关搜索： KPC代码
(系统自动生成,下载前可以参看下载内容)
下载文件列表
kPCA_v3.1\1207.3538.pdf
kPCA_v3.1\code\PCA.m
kPCA_v3.1\code\distanceMatrix.m
kPCA_v3.1\code\kPCA.m
kPCA_v3.1\code\kPCA_NewData.m
kPCA_v3.1\code\kPCA_PreImage.m
kPCA_v3.1\code\kernel.m
kPCA_v3.1\code\kernel_NewData.m
kPCA_v3.1\demo1\SyntheticData.mat
kPCA_v3.1\demo1\demo_SyntheticData.m
kPCA_v3.1\demo2\YaleFaceData.mat
kPCA_v3.1\demo2\demo_YaleFace.m
kPCA_v3.1\demo3\demo_faceASM_PCA.m
kPCA_v3.1\demo3\demo_faceASM_kPCA.m
kPCA_v3.1\demo3\drawFaceModel.m
kPCA_v3.1\demo3\points_20.mat
license.txt
kPCA_v3.1\code\PCA.m
kPCA_v3.1\code\distanceMatrix.m
kPCA_v3.1\code\kPCA.m
kPCA_v3.1\code\kPCA_NewData.m
kPCA_v3.1\code\kPCA_PreImage.m
kPCA_v3.1\code\kernel.m
kPCA_v3.1\code\kernel_NewData.m
kPCA_v3.1\demo1\SyntheticData.mat
kPCA_v3.1\demo1\demo_SyntheticData.m
kPCA_v3.1\demo2\YaleFaceData.mat
kPCA_v3.1\demo2\demo_YaleFace.m
kPCA_v3.1\demo3\demo_faceASM_PCA.m
kPCA_v3.1\demo3\demo_faceASM_kPCA.m
kPCA_v3.1\demo3\drawFaceModel.m
kPCA_v3.1\demo3\points_20.mat
license.txt