FCM algorithm is a clustering algorithm based on the division of its thinking is that it is making is divided into clusters with the greatest similarity between the object, and different similarity between the smallest cluster. Fuzzy C-means algorithm is an ordinary C-means algorithm, the general C-means algorithm for data delineation is rigid, while the FCM is a soft fuzzy partition. FCM in the introduction prior to the specific algorithm we first introduce some basic knowledge of fuzzy sets.

Packet : 23825735segment.rar filelist
segment_execurate\convolve.h
segment_execurate\COPYING
segment_execurate\disjoint-set.h
segment_execurate\filter.h
segment_execurate\image.h
segment_execurate\imconv.h
segment_execurate\imutil.h
segment_execurate\L1000.ppm
segment_execurate\L1000_out.ppm
segment_execurate\Makefile
segment_execurate\misc.h
segment_execurate\pnmfile.h
segment_execurate\R1000.ppm
segment_execurate\README
segment_execurate\segment-graph.h
segment_execurate\segment-image.h
segment_execurate\segment.cpp
segment_execurate\segment.dsp
segment_execurate\segment.dsw
segment_execurate\segment.ncb
segment_execurate\segment.opt
segment_execurate\segment.plg
segment_execurate\segment.suo
segment_execurate\segment.vcproj
segment_execurate\segment.vcproj.CVLAB-LUCKYGUY.CVLab.user
segment_execurate\Debug
segment_execurate

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