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Title: lowdensityseparate Download
 Description: LDS for Semi-supervised learning,which is proposed by Olivier Chapelle,it combinations the monifold assumption and cluster assumption.
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File list (Check if you may need any files):
lowdensityseparate\assert.m
..................\calcDefaultSigma.m
..................\calcNnDists.m
..................\calcRbfKernel.m
..................\exampleG50c.m
..................\exampleModSel.m
..................\exampleUsps.m
..................\graphDistKernelC.m
..................\lds.m
..................\make_tar
..................\minimize.m
..................\rhoPathDists2.cpp
..................\rhoPathDists2.dll
..................\rhoPathDists2.dsp
..................\rhoPathDists2.dsw
..................\rhoPathDists2.mexglx
..................\rhoPathDists2.ncb
..................\rhoPathDists2.opt
..................\sq_dist.c
..................\sq_dist.dll
..................\sq_dist.mexglx
..................\Debug
lowdensityseparate
    

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