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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