CaiDengcode

代码说明：

  浙大蔡登，何晓飞写的降维，特征选择等机器学习的源码 包括：谱回归，降维，特征选择，主题模型，矩阵分解，稀疏编码，哈希，聚类，主动学习，矩阵学习。 是一个很好的机器学习源码资料。(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 )

文件列表：

CaiDengcode
...........\bestMap.m,747,2012-02-25
...........\constructKernel.m,2554,2012-01-30
...........\constructW.m,19500,2012-02-25
...........\CSRKDApredict.m,2226,2012-01-30
...........\CSRKDAtrain.m,4822,2012-01-30
...........\dijkstra.mexglx,14907,2011-12-13
...........\dijkstra.mexw32,13824,2011-12-13
...........\dijkstra.mexw64,13824,2011-12-13
...........\Eigenmap.m,2763,2012-02-26
...........\EMR.m,3324,2012-02-25
...........\EMRtest.m,1452,2012-02-25
...........\ep1R.mexw32,6656,2012-01-10
...........\ep1R.mexw64,7680,2012-01-10
...........\EuDist2.m,1248,2011-12-13
...........\GenSpatialSmoothRegularizer.m,840,2011-12-13
...........\GenTwoNoisyCircle.m,536,2012-02-01
...........\getargs.m,3278,2011-12-13
...........\GNMF.m,2504,2012-02-03
...........\GNMF_KL.m,3484,2012-02-05
...........\GNMF_KL_Multi.m,13943,2012-02-05
...........\GNMF_Multi.m,7556,2012-02-03
...........\GraphSC.m,4361,2012-01-13
...........\hungarian.m,11783,2011-12-13
...........\initFactor.m,2583,2012-01-10
...........\IsoP.m,7397,2012-01-30
...........\KDA.m,5418,2012-01-30
...........\KGE.m,6517,2012-01-30
...........\KLPP.m,4118,2012-01-30
...........\KPCA.m,3572,2012-01-30
...........\KSR.m,7907,2012-01-30
...........\KSR_caller.m,9296,2012-01-30
...........\LaplacianScore.m,2879,2011-12-13
...........\LapPLSI.m,8420,2012-02-25
...........\lars.m,10213,2012-01-13
...........\LCCF.m,1986,2012-01-30
...........\LCCF_Multi.m,6597,2012-01-30
...........\LCGMM.m,7928,2012-02-03
...........\LDA.m,8682,2012-01-30
...........\learn_basis.m,2294,2012-01-13
...........\learn_coefficients.m,7871,2012-01-13
...........\LeastR.m,20179,2012-01-10
...........\LGE.m,9158,2012-01-30
...........\litekmeans.m,16581,2012-01-01
...........\LPP.m,4727,2012-01-30
...........\LSC.m,3308,2012-01-01
...........\LSDA.m,5357,2012-01-30
...........\lsqr2.m,13444,2011-12-13
...........\LTM.m,6101,2012-02-25
...........\MAED.m,3396,2012-02-25
...........\MAEDseq.m,1442,2012-02-25
...........\MCFS_p.m,8204,2012-02-25
...........\mex_EMstep.mexw32,10752,2012-02-25
...........\mex_EMstep.mexw64,11776,2012-02-25
...........\mex_logL.mexw32,8192,2012-02-25
...........\mex_logL.mexw64,8192,2012-02-25
...........\mex_Pw_d.mexw32,9216,2012-02-25
...........\mex_Pw_d.mexw64,10752,2012-02-25
...........\MMP.m,4701,2012-01-30
...........\MutualInfo.m,1191,2012-02-25
...........\mySVD.m,3683,2011-12-27
...........\NormalizeFea.m,1307,2012-01-30
...........\NPE.m,7091,2012-01-30
...........\OLGE.m,9150,2012-01-30
...........\OLPP.m,4227,2012-01-30
...........\PCA.m,1981,2012-01-30
...........\readne.txt,436,2014-06-06
...........\SCC.m,4583,2012-02-01
...........\SCCtest.m,3074,2012-02-01
...........\SDA.m,5097,2012-01-30
...........\sll_opts.m,5489,2012-01-10
...........\SparseCodingwithBasis.m,3522,2012-01-30
...........\SR.m,12546,2012-01-30
...........\SRDApredict.m,2343,2012-01-30
...........\SRDAtest.m,1490,2012-01-30
...........\SRDAtrain.m,7626,2012-01-30
...........\SRKDApredict.m,3761,2012-01-30
...........\SRKDAtest.m,3033,2012-01-30
...........\SRKDAtrain.m,8563,2012-02-01
...........\SR_caller.m,9657,2012-01-30
...........\TensorLGE.m,5652,2011-12-13
...........\TensorLPP.m,3910,2011-12-13
...........\TensorR_32x32.mat,14676,2011-12-13
...........\tfidf.m,1253,2012-01-13
...........\UKSRtest.m,2591,2012-01-30
...........\UKSRtrain.m,5368,2012-01-30
...........\USRtest.m,1903,2012-01-30
...........\USRtrain.m,5139,2012-01-30