谱聚类和SVM相结合的图像分割我要分享

Image segmentation based on spectral clustering and SVM

聚类-svm SVM--matlab 分割 聚类-分割 matlab-聚类-svm

关注次数: 300

下载次数: 0

文件大小: 295K

代码分类: 智能算法

开发平台: matlab

下载需要积分: 1积分

版权声明:如果侵犯了您的权益请与我们联系,我们将在24小时内删除。

代码描述

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.


代码预览

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