Normalized cuts and image segmentation algorithm and its papers, normalized measure divided not only between the different groups no overall similarity, while the overall measure of similarity within groups

Ncut_9
......\._affinityic.cpp
......\._a_times_b_cmplx.cpp
......\._build_scene.m
......\._cimgnbmap.cpp
......\._compileDir_simple.m
......\._computeEdges.m
......\._computeW.m
......\._compute_relation.m
......\._compute_relation2.m
......\._demoNcutClustering.m
......\._demoNcutImage.m
......\._discretisation.m
......\._discretisationEigenVectorData.m
......\._doog1.m
......\._doog2.m
......\._eigs_new.m
......\._fft_filt_2.m
......\._gaussian.m
......\._ICgraph.m
......\._imread_ncut.m
......\._make_filterbank_even2.m
......\._make_filterbank_odd2.m
......\._mex_w_times_x_symmetric.cpp
......\._ncut.m
......\._NcutImage.m
......\._ncutW.m
......\._quadedgep.m
......\._README.txt
......\._showmask.m
......\._sparsifyc.cpp
......\._spmtimesd.cpp
......\._X2distances.m
......\affinityic.cpp
......\a_times_b_cmplx.cpp
......\build_scene.m
......\cimgnbmap.cpp
......\compileDir_simple.m
......\computeEdges.m
......\computeW.m
......\compute_relation.m
......\compute_relation2.m
......\demoNcutClustering.m
......\demoNcutImage.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
......\ncut.m
......\NcutImage.m
......\ncutW.m
......\quadedgep.m
......\README.txt
......\showmask.m
......\sparsifyc.cpp
......\spmtimesd.cpp
......\X2distances.m
pami_ncut.pdf

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