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.

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

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