The genetic algorithm and simulated annealing algorithm are introduced in the traditional K algorithm, and the two algorithms are combined to achieve the cluster analysis through the crossover, mutation, simulated annealing and so on.

遗传和模拟退火的聚类程序\CRTBASE.M
........................\CRTBP.M
........................\CRTRP.M
........................\FCMfun.m
........................\FCMpure.m
........................\GAFCM.m
........................\initFCM.m
........................\iterateFCM.m
........................\MIGRATE.M
........................\MPGA.M
........................\MUT.M
........................\MUTATE.M
........................\MUTBGA.M
........................\ObjFun.m
........................\OBJFUN1.M
........................\OBJHARV.M
........................\RANKING.M
........................\RECDIS.M
........................\RECINT.M
........................\RECLIN.M
........................\RECMUT.M
........................\RECOMBIN.M
........................\REINS.M
........................\REP.M
........................\RESPLOT.M
........................\RWS.M
........................\SAGAFcmMain.m
........................\SCALING.M
........................\SELECT.M
........................\SGA.M
........................\SUS.M
........................\X.mat
........................\XOVDP.M
........................\XOVDPRS.M
........................\XOVMP.M
........................\XOVSH.M
........................\XOVSHRS.M
........................\XOVSP.M
........................\XOVSPRS.M
遗传和模拟退火的聚类程序

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