Description: the
corresponding algorithms are called kernel fuzzy c-means
(KFCM) and kernel possibilistic c-means (KPCM)
algorithms. And some test results are given to illustrate the
advantages of the proposed algorithms over the FCM and
PCM algorithms.
Example.m
Kernel based fuzzy and possibilistic c-means clustering.pdf
KFCMClust.m
Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure.pdf
核聚类算法.pdf
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