a mathod of normalization cut(Ncut) which without any bug. And use for image segment.

Ncut_9\affinityic.cpp
......\affinityic.mexw64
......\a_times_b_cmplx.cpp
......\build_scene.m
......\cimgnbmap.cpp
......\cimgnbmap.mexw64
......\compileDir_simple.m
......\computeEdges.m
......\computeW.m
......\compute_relation.m
......\compute_relation2.m
......\demoNcutClustering.m
......\demoNcutImage.m
......\Demo_CutImage.m
......\Demo_CutTestData.m
......\discretisation.m
......\discretisationEigenVectorData.m
......\doog1.m
......\doog2.m
......\eigs_new.m
......\fft_filt_2.m
......\gaussian.m
......\ICgraph.m
......\imread_ncut.m
......\jpg_images\._1.jpg
......\..........\._2.jpg
......\..........\._3.jpg
......\..........\._Thumbs.db
......\..........\1.jpg
......\..........\2.jpg
......\..........\3.jpg
......\..........\Thumbs.db
......\make_filterbank_even2.m
......\make_filterbank_odd2.m
......\mex_w_times_x_symmetric.cpp
......\mex_w_times_x_symmetric.mexw64
......\ncut.m
......\NcutImage.m
......\ncutW.m
......\quadedgep.m
......\README.txt
......\showmask.m
......\sparsifyc.cpp
......\sparsifyc.mexw64
......\spmtimesd.cpp
......\spmtimesd.mexw64
......\X2distances.m
......\jpg_images
Ncut_9

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