FCM,GK,GG模糊聚类算法

代码说明：

说明：  fcm实现简单的数值分类，只要你重新定义数据矩阵，就可以直接进行分类。(FCM implements simple numerical classification, which can be directly classified as long as you redefine the data matrix.)

文件列表：

FCM,GK,GG模糊聚类算法, 0 , 2019-06-10
FCM,GK,GG模糊聚类算法\Demos, 0 , 2019-06-10
FCM,GK,GG模糊聚类算法\Demos\clusteringexamples, 0 , 2019-06-10
FCM,GK,GG模糊聚类算法\Demos\clusteringexamples\motorcycle, 0 , 2019-06-10
FCM,GK,GG模糊聚类算法\Demos\clusteringexamples\motorcycle\FCMcall.m, 542 , 2005-03-22
FCM,GK,GG模糊聚类算法\Demos\clusteringexamples\motorcycle\GGcall.m, 589 , 2005-03-22
FCM,GK,GG模糊聚类算法\Demos\clusteringexamples\motorcycle\GKcall.m, 543 , 2005-03-22
FCM,GK,GG模糊聚类算法\Demos\clusteringexamples\motorcycle\Kmeanscall.m, 408 , 2005-03-22
FCM,GK,GG模糊聚类算法\Demos\clusteringexamples\motorcycle\Kmedoidcall.m, 409 , 2005-03-22
FCM,GK,GG模糊聚类算法\Demos\clusteringexamples\motorcycle\MotorCycle.txt, 8086 , 2003-04-25
FCM,GK,GG模糊聚类算法\Demos\clusteringexamples\synthetic, 0 , 2019-06-10
FCM,GK,GG模糊聚类算法\Demos\clusteringexamples\synthetic\FCMcall.m, 499 , 2004-05-19
FCM,GK,GG模糊聚类算法\Demos\clusteringexamples\synthetic\GGcall.m, 598 , 2004-05-19
FCM,GK,GG模糊聚类算法\Demos\clusteringexamples\synthetic\GKcall.m, 498 , 2004-05-19
FCM,GK,GG模糊聚类算法\Demos\clusteringexamples\synthetic\Kmeanscall.m, 536 , 2004-05-17
FCM,GK,GG模糊聚类算法\Demos\clusteringexamples\synthetic\Kmedoidcall.m, 508 , 2004-05-17
FCM,GK,GG模糊聚类算法\Demos\clusteringexamples\synthetic\nDexample.m, 381 , 2004-03-14
FCM,GK,GG模糊聚类算法\Demos\clustevalexample, 0 , 2019-06-10
FCM,GK,GG模糊聚类算法\Demos\clustevalexample\data2.txt, 2952 , 2004-02-09
FCM,GK,GG模糊聚类算法\Demos\clustevalexample\evalexample.m, 539 , 2005-03-22
FCM,GK,GG模糊聚类算法\Demos\comparing, 0 , 2019-06-10
FCM,GK,GG模糊聚类算法\Demos\comparing\FCMcall.m, 637 , 2004-05-19
FCM,GK,GG模糊聚类算法\Demos\comparing\GGcall.m, 716 , 2005-03-22
FCM,GK,GG模糊聚类算法\Demos\comparing\GKcall.m, 676 , 2004-05-19
FCM,GK,GG模糊聚类算法\Demos\comparing\Kmeanscall.m, 421 , 2004-05-13
FCM,GK,GG模糊聚类算法\Demos\comparing\Kmedoidcall.m, 422 , 2004-05-13
FCM,GK,GG模糊聚类算法\Demos\comparing\modvalidity.m, 3510 , 2004-05-13
FCM,GK,GG模糊聚类算法\Demos\comparing\nDexample.m, 336 , 2004-05-13
FCM,GK,GG模糊聚类算法\Demos\normexample, 0 , 2019-06-10
FCM,GK,GG模糊聚类算法\Demos\normexample\data3.txt, 5705 , 2004-02-09
FCM,GK,GG模糊聚类算法\Demos\normexample\normexample.m, 373 , 2004-05-17
FCM,GK,GG模糊聚类算法\Demos\optnumber, 0 , 2019-06-10
FCM,GK,GG模糊聚类算法\Demos\optnumber\modvalidity.m, 3510 , 2004-05-13
FCM,GK,GG模糊聚类算法\Demos\optnumber\MotorCycle.txt, 8086 , 2003-04-25
FCM,GK,GG模糊聚类算法\Demos\optnumber\optnumber.m, 1608 , 2005-03-22
FCM,GK,GG模糊聚类算法\Demos\PCAexample, 0 , 2019-06-10
FCM,GK,GG模糊聚类算法\Demos\PCAexample\nDexample.m, 379 , 2004-05-10
FCM,GK,GG模糊聚类算法\Demos\PCAexample\PCAexample.m, 483 , 2005-03-22
FCM,GK,GG模糊聚类算法\Demos\projection, 0 , 2019-06-10
FCM,GK,GG模糊聚类算法\Demos\projection\IRIS.MAT, 8584 , 2004-04-05
FCM,GK,GG模糊聚类算法\Demos\projection\visual_call.m, 4117 , 2005-03-22
FCM,GK,GG模糊聚类算法\Demos\projection\WINEDAT.TXT, 40081 , 2004-04-05
FCM,GK,GG模糊聚类算法\Demos\projection\wisconsin.wk1, 88942 , 2004-04-05
FCM,GK,GG模糊聚类算法\FUZZCLUST, 0 , 2019-06-10
FCM,GK,GG模糊聚类算法\FUZZCLUST\clusteval.m, 3178 , 2005-03-22
FCM,GK,GG模糊聚类算法\FUZZCLUST\clust_denormalize.m, 710 , 2005-03-22
FCM,GK,GG模糊聚类算法\FUZZCLUST\clust_normalize.m, 705 , 2005-03-22
FCM,GK,GG模糊聚类算法\FUZZCLUST\FCMclust.m, 1483 , 2005-03-22
FCM,GK,GG模糊聚类算法\FUZZCLUST\FuzSam.m, 2441 , 2005-03-22
FCM,GK,GG模糊聚类算法\FUZZCLUST\GGclust.asv, 2562 , 2019-06-10
FCM,GK,GG模糊聚类算法\FUZZCLUST\GGclust.m, 2553 , 2019-06-10
FCM,GK,GG模糊聚类算法\FUZZCLUST\GKclust.m, 3112 , 2005-03-30
FCM,GK,GG模糊聚类算法\FUZZCLUST\Kmeans.m, 1957 , 2005-03-22
FCM,GK,GG模糊聚类算法\FUZZCLUST\Kmedoid.m, 2308 , 2005-03-22
FCM,GK,GG模糊聚类算法\FUZZCLUST\nDexample.m, 379 , 2004-05-06
FCM,GK,GG模糊聚类算法\FUZZCLUST\PCA.m, 1353 , 2004-05-10
FCM,GK,GG模糊聚类算法\FUZZCLUST\PROJEVAL.M, 1174 , 2005-03-22
FCM,GK,GG模糊聚类算法\FUZZCLUST\SAMMON.M, 4509 , 2005-03-22
FCM,GK,GG模糊聚类算法\FUZZCLUST\SAMSTR.M, 610 , 2004-05-10
FCM,GK,GG模糊聚类算法\FUZZCLUST\validity.m, 4101 , 2004-05-13
FCM,GK,GG模糊聚类算法\FuzzyClusteringToolbox.pdf, 2137376 , 2005-03-22