spectral_Clustering

代码说明：

  一种用于聚类分析的谱聚类方法（Matlab版），可以有效，快速的对多维样本数据进行聚类划分(For cluster analysis of spectral clustering methods can be effective, fast multi-dimensional sample data clustering divided)

文件列表：

cluster_result.mat,193,2009-04-07
common_files
............\a_times_b_cmplx.dll,7114,2004-06-18
............\a_times_b_cmplx.mexglx,7820,2004-06-18
............\a_times_b_cmplx.mexmac,13096,2004-06-18
............\discretisation.m,1251,2004-06-18
............\discretisationEigenVectorData.asv,202,2004-06-18
............\discretisationEigenVectorData.m,317,2004-06-18
............\eigs2.m,37466,2004-06-18
............\mex_w_times_x_symmetric.dll,9728,2004-06-18
............\mex_w_times_x_symmetric.mexglx,8713,2004-06-18
............\mex_w_times_x_symmetric.mexmac,13396,2004-06-18
............\ncut.asv,2339,2004-06-18
............\ncut.m,2470,2004-06-18
............\ncutW.asv,486,2004-06-18
............\ncutW.m,604,2004-06-18
............\sparsifyc.dll,8704,2004-06-18
............\sparsifyc.mexglx,8541,2004-06-18
............\sparsifyc.mexmac,9004,2004-06-18
............\spmtimesd.dll,7168,2004-06-18
............\spmtimesd.mexglx,7285,2004-06-18
............\spmtimesd.mexmac,8888,2004-06-18
demoNcutClustering.asv,1931,2009-04-07
demoNcutClustering.m,1881,2009-04-09
main.m,309,2004-06-18
README_NcutClustering.txt,908,2004-06-18
specific_NcutClustering_files
.............................\build_scene.asv,3532,2009-04-07
.............................\build_scene.m,3537,2009-04-07
.............................\compute_relation.m,594,2004-06-18
svmeig.m,157,2009-04-07
SVMg
....\adfd.m,1723,2006-12-22
....\ANS.M,117,2000-08-30
....\ANSWER.M,117,2000-08-30
....\BINOMIAL.M,376,2000-06-28
....\binomimao.m,359,2006-05-09
....\centrefig.m,144,1998-05-01
....\CHUNKING,M.m,1447,2006-05-09
....\CHUNKING.M,4374,2000-11-16
....\chunkingint.m,4633,2006-09-05
....\CMAP.MAT,1728,1997-08-13
....\Contents.m,2196,2001-05-31
....\example.asv,3782,2006-12-24
....\example.m,3781,2007-08-27
....\EXAMPLE.MAT,744,1997-11-07
....\fsd.fig,199454,2006-05-24
....\IRIS1V23.MAT,2696,1997-09-28
....\IRIS2V13.MAT,2696,1997-09-28
....\IRIS3V12.MAT,2696,1997-09-28
....\knnclassification.m,1560,2006-12-22
....\LINSEP.MAT,672,1997-11-06
....\Multiclassification.m,397,2006-11-23
....\multisvc.asv,3703,2006-11-23
....\multisvc.m,3854,2006-11-23
....\ncutEigenvector.mat,4026,2009-04-02
....\newtest.m,1723,2006-11-28
....\NLINSEP.MAT,712,1997-11-06
....\NOBIAS.M,483,2005-06-02
....\OLDSVC.M,3032,2001-04-21
....\OSUNA.M,7904,2000-11-16
....\OSUNAINT.M,8463,2000-11-16
....\htm" target=_blank>README,238,1998-09-14
....\SINC.MAT,1056,1997-08-20
....\softmargin.m,316,2000-10-23
....\SOUTPUT.M,1279,2000-11-15
....\sublargesvc.asv,2829,2006-05-10
....\sublargesvc.m,2813,2000-11-14
....\sumkernel.m,1459,2002-09-16
....\SUMSVR.M,4055,2002-09-16
....\sumsvroutput.m,752,2002-09-16
....\SUMTEST.M,281,2002-09-16
....\SVC.asv,3204,2006-04-15
....\SVC.M,3271,2007-08-27
....\SVCERROR.M,842,2000-06-28
....\SVCINFO.asv,1233,2007-04-26
....\SVCINFO.M,1233,2000-06-28
....\svcoutput.m,1021,2009-04-07
....\SVCPLOT.M,3129,2006-04-15
....\SVCPLOT1.M,3321,2000-06-28
....\svdatanorm.m,1304,2000-06-28
....\SVKERNEL.asv,4284,2005-06-01
....\SVKERNEL.M,5128,2007-08-27
....\SVKERNEL1.M,5082,2006-11-07
....\svkernelv.m,2024,2000-06-28
....\SVOUTPUT.M,1218,2000-06-28
....\SVR.asv,4283,2006-04-15
....\SVR.M,4288,2006-04-15
....\SVRERROR.M,1208,2000-06-28
....\svroutput.m,716,2000-07-17
....\SVRPLOT.M,1866,2000-12-04
....\SVTOL.M,406,2000-06-28
....\TITANIUM.MAT,1096,1997-09-27
....\UICLASS.M,5386,1997-11-18
....\UICLASS.MAT,12592,1997-11-18
....\uiregress.m,5627,1997-09-27
....\uiregress.mat,11640,1998-10-12
svm_result.mat,1558,2009-04-07
traindata.asv,830,2009-04-07
traindata.m,875,2009-04-07