文件名称:code-hxf
介绍说明--下载内容均来自于网络,请自行研究使用
浙江大学何晓飞写的数据降维基本算法,对初学者很有帮助-Zhejiang university HeXiaoFei wrote down the wiki data algorithm for beginners helpful
(系统自动生成,下载前可以参看下载内容)
下载文件列表
code-hxf\bestMap.m
........\constructKernel.m
........\constructW.m
........\CSRKDApredict.m
........\CSRKDAtrain.m
........\dijkstra.mexglx
........\dijkstra.mexw32
........\dijkstra.mexw64
........\Eigenmap.m
........\ep1R.mexw32
........\ep1R.mexw64
........\EuDist2.m
........\GenSpatialSmoothRegularizer.m
........\GenTwoNoisyCircle.m
........\getargs.m
........\GNMF.m
........\GNMF_KL.m
........\GNMF_KL_Multi.m
........\GNMF_Multi.m
........\GraphSC.m
........\hungarian.m
........\initFactor.m
........\IsoP.m
........\KDA.m
........\KGE.m
........\KLPP.m
........\KPCA.m
........\KSR.m
........\KSR_caller.m
........\LaplacianScore.m
........\LapPLSI.m
........\lars.m
........\LCCF.m
........\LCCF_Multi.m
........\LCGMM.m
........\LDA.m
........\learn_basis.m
........\learn_coefficients.m
........\LeastR.m
........\LGE.m
........\litekmeans.m
........\LPP.m
........\LSC.m
........\LSDA.m
........\lsqr2.m
........\LTM.m
........\MAED.m
........\MAEDseq.m
........\MCFS_p.m
........\mex_EMstep.mexw32
........\mex_EMstep.mexw64
........\mex_LogL.mexw32
........\mex_LogL.mexw64
........\mex_Pw_d.mexw32
........\mex_Pw_d.mexw64
........\MMP.m
........\MutualInfo.m
........\mySVD.m
........\NormalizeFea.m
........\NPE.m
........\OLGE.m
........\OLPP.m
........\PCA.m
........\SCC.m
........\SCCtest.m
........\SDA.m
........\sll_opts.m
........\SparseCodingwithBasis.m
........\SR.m
........\SRDApredict.m
........\SRDAtest.m
........\SRDAtrain.m
........\SRKDApredict.m
........\SRKDAtest.m
........\SRKDAtrain.m
........\SR_caller.m
........\TensorLGE.m
........\TensorLPP.m
........\TensorR_32x32.mat
........\tfidf.m
........\UKSRtest.m
........\UKSRtrain.m
........\USRtest.m
........\USRtrain.m
code-hxf
........\constructKernel.m
........\constructW.m
........\CSRKDApredict.m
........\CSRKDAtrain.m
........\dijkstra.mexglx
........\dijkstra.mexw32
........\dijkstra.mexw64
........\Eigenmap.m
........\ep1R.mexw32
........\ep1R.mexw64
........\EuDist2.m
........\GenSpatialSmoothRegularizer.m
........\GenTwoNoisyCircle.m
........\getargs.m
........\GNMF.m
........\GNMF_KL.m
........\GNMF_KL_Multi.m
........\GNMF_Multi.m
........\GraphSC.m
........\hungarian.m
........\initFactor.m
........\IsoP.m
........\KDA.m
........\KGE.m
........\KLPP.m
........\KPCA.m
........\KSR.m
........\KSR_caller.m
........\LaplacianScore.m
........\LapPLSI.m
........\lars.m
........\LCCF.m
........\LCCF_Multi.m
........\LCGMM.m
........\LDA.m
........\learn_basis.m
........\learn_coefficients.m
........\LeastR.m
........\LGE.m
........\litekmeans.m
........\LPP.m
........\LSC.m
........\LSDA.m
........\lsqr2.m
........\LTM.m
........\MAED.m
........\MAEDseq.m
........\MCFS_p.m
........\mex_EMstep.mexw32
........\mex_EMstep.mexw64
........\mex_LogL.mexw32
........\mex_LogL.mexw64
........\mex_Pw_d.mexw32
........\mex_Pw_d.mexw64
........\MMP.m
........\MutualInfo.m
........\mySVD.m
........\NormalizeFea.m
........\NPE.m
........\OLGE.m
........\OLPP.m
........\PCA.m
........\SCC.m
........\SCCtest.m
........\SDA.m
........\sll_opts.m
........\SparseCodingwithBasis.m
........\SR.m
........\SRDApredict.m
........\SRDAtest.m
........\SRDAtrain.m
........\SRKDApredict.m
........\SRKDAtest.m
........\SRKDAtrain.m
........\SR_caller.m
........\TensorLGE.m
........\TensorLPP.m
........\TensorR_32x32.mat
........\tfidf.m
........\UKSRtest.m
........\UKSRtrain.m
........\USRtest.m
........\USRtrain.m
code-hxf