中文说明:谱聚类和SVM相结合的图像分割程序,这是用matlab编的谱聚类程序,该方法能有效的用于数据分类。
English Description:
This method can be used to classify spectral data effectively.Image segmentation based on spectral clustering and SVM
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中文说明:谱聚类和SVM相结合的图像分割程序,这是用matlab编的谱聚类程序,该方法能有效的用于数据分类。
English Description:
This method can be used to classify spectral data effectively.NcutClustering-谱聚类和SVM相结合的图像分割程序
..............................................\cluster_result.mat
..............................................\common_files
..............................................\............\a_times_b_cmplx.dll
..............................................\............\a_times_b_cmplx.mexglx
..............................................\............\a_times_b_cmplx.mexmac
..............................................\............\discretisation.m
..............................................\............\discretisationEigenVectorData.asv
..............................................\............\discretisationEigenVectorData.m
..............................................\............\eigs2.m
..............................................\............\mex_w_times_x_symmetric.dll
..............................................\............\mex_w_times_x_symmetric.mexglx
..............................................\............\mex_w_times_x_symmetric.mexmac
..............................................\............\ncut.asv
..............................................\............\ncut.m
..............................................\............\ncutW.asv
..............................................\............\ncutW.m
..............................................\............\sparsifyc.dll
..............................................\............\sparsifyc.mexglx
..............................................\............\sparsifyc.mexmac
..............................................\............\spmtimesd.dll
..............................................\............\spmtimesd.mexglx
..............................................\............\spmtimesd.mexmac
..............................................\demoNcutClustering.asv
..............................................\demoNcutClustering.m
..............................................\main.m
..............................................\README_NcutClustering.txt
..............................................\specific_NcutClustering_files
..............................................\.............................\build_scene.asv
..............................................\.............................\build_scene.m
..............................................\.............................\compute_relation.m
..............................................\svmeig.m
..............................................\SVMg
..............................................\....\adfd.m
..............................................\....\ANS.M
..............................................\....\ANSWER.M
..............................................\....\BINOMIAL.M
..............................................\....\binomimao.m
..............................................\....\centrefig.m
..............................................\....\CHUNKING
..............................................\....\CHUNKING.M
..............................................\....\chunkingint.m
..............................................\....\CMAP.MAT
..............................................\....\Contents.m
..............................................\....\example.asv
..............................................\....\example.m
..............................................\....\EXAMPLE.MAT
..............................................\....\fsd.fig
..............................................\....\IRIS1V23.MAT
..............................................\....\IRIS2V13.MAT
..............................................\....\IRIS3V12.MAT
..............................................\....\knnclassification.m
..............................................\....\LINSEP.MAT
..............................................\....\Multiclassification.m
..............................................\....\multisvc.asv
..............................................\....\multisvc.m
..............................................\....\ncutEigenvector.mat
..............................................\....\newtest.m
..............................................\....\NLINSEP.MAT
..............................................\....\NOBIAS.M
..............................................\....\OLDSVC.M
..............................................\....\OSUNA.M
..............................................\....\OSUNAINT.M
..............................................\....\htm" target=_blank>README
..............................................\....\SINC.MAT
..............................................\....\softmargin.m
..............................................\....\SOUTPUT.M
..............................................\....\sublargesvc.asv
..............................................\....\sublargesvc.m
..............................................\....\sumkernel.m
..............................................\....\SUMSVR.M
..............................................\....\sumsvroutput.m
..............................................\....\SUMTEST.M
..............................................\....\SVC.asv
..............................................\....\SVC.M
..............................................\....\SVCERROR.M
..............................................\....\SVCINFO.asv
..............................................\....\SVCINFO.M
..............................................\....\svcoutput.m
..............................................\....\SVCPLOT.M
..............................................\....\SVCPLOT1.M
..............................................\....\svdatanorm.m
..............................................\....\SVKERNEL.asv
..............................................\....\SVKERNEL.M
..............................................\....\SVKERNEL1.M
..............................................\....\svkernelv.m
..............................................\....\SVOUTPUT.M
..............................................\....\SVR.asv
..............................................\....\SVR.M
..............................................\....\SVRERROR.M
..............................................\....\svroutput.m
..............................................\....\SVRPLOT.M
..............................................\....\SVTOL.M
..............................................\....\TITANIUM.MAT
..............................................\....\UICLASS.M
..............................................\....\UICLASS.MAT
..............................................\....\uiregress.m
..............................................\....\uiregress.mat
..............................................\svm_result.mat
..............................................\traindata.asv