Description: 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.
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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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