文件名称:sskpls_toolbox
介绍说明－－下载内容均来自于网络，请自行研究使用
基于半监督KPLS的概率聚类核，是用matlab编写的一个工具箱，可参考论文：Semisupervised nonlinear feature extraction for image classification和Semisupervised kernel orthonormalized partial least squares-Semisupervised KPLS with Probabilistic Cluster Kernel [SS-KPLS]
(系统自动生成,下载前可以参看下载内容)
下载文件列表
SemiSupFeat_toolbox
...................\COPYING.txt
...................\README.txt~
...................\contents.m~
...................\contents.m
...................\tools
...................\.....\generate_toydata.m
...................\.....\binarize.m
...................\.....\tile.m
...................\.....\bagkernelImGMM.m
...................\.....\closerClusterGMM.m
...................\.....\kernelmatrix.m
...................\.....\plotKernelFeatures.m
...................\.....\scalestd.m
...................\.....\plotFeatures.m
...................\.....\estimateSigma.m
...................\.....\gen_eig.m
...................\.....\kernelcentering.m
...................\.....\bagkernelgmm.m
...................\.....\figure_projections.m
...................\methods
...................\.......\Assesspls.m
...................\.......\dualpls.m
...................\.......\Assesspca.m
...................\.......\assessment.m
...................\.......\pca.m
...................\.......\Assesskpls.m
...................\.......\isp_rkopls_phase1.m
...................\.......\plsSB.m
...................\.......\Assesskopls.m
...................\.......\isp_rkopls_phase3.m
...................\DemoSemiFeat.m
...................\.directory
...................\README.txt