文件名称:LOW-density-seperation
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使用LDS(low density seperation)method 寻找最优分离面，然后对数据进行分类-Use LDS (low density seperation) method to find the optimal separation surface, and then classify the data
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下载文件列表
数据分类----LDS\assert.asv
...............\assert.m
...............\breastnew.data
...............\bupa.data
...............\bupa_example.asv
...............\bupa_example.m
...............\calcDefaultSigma.asv
...............\calcDefaultSigma.m
...............\calcNnDists.asv
...............\calcNnDists.m
...............\calcRbfKernel.m
...............\coil20.mat
...............\different_k_compare.asv
...............\different_k_compare.m
...............\different_k_errorrate.asv
...............\different_k_errorrate.m
...............\exampleciol20.m
...............\exampleg10n.m
...............\exampleG50c.asv
...............\exampleG50c.m
...............\exampleModSel.asv
...............\exampleModSel.m
...............\exampleUsps.asv
...............\exampleUsps.m
...............\example_breast.asv
...............\example_breast.m
...............\g10n.mat
...............\g50c.mat
...............\graphDistKernelC.asv
...............\graphDistKernelC.m
...............\lds.asv
...............\lds.m
...............\make_tar
...............\minimize.m
...............\rhoG50c.m
...............\rhoPathDists2.cpp
...............\rhoPathDists2.dll
...............\rhoPathDists2.mexglx
...............\segment_function.asv
...............\segment_function.m
...............\sq_dist.c
...............\sq_dist.dll
...............\sq_dist.mexglx
...............\text.mat
...............\texteexample.m
...............\uspst.mat
数据分类----LDS