cCaideng s code for Machine learning,include Spectral regression : (a regression framework for efficient dimensionality reduction) Dimensionality reduction (Subspace learning) Feature selection Topic modeling and GMM Matrix factorization Sparse coding Hashing Clustering Active learning Ranking and Metric learning

CaiDengcode\bestMap.m
...........\constructKernel.m
...........\constructW.m
...........\CSRKDApredict.m
...........\CSRKDAtrain.m
...........\dijkstra.mexglx
...........\dijkstra.mexw32
...........\dijkstra.mexw64
...........\Eigenmap.m
...........\EMR.m
...........\EMRtest.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
...........\readne.txt
...........\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
CaiDengcode

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