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A possibilistic clustering algorithm called unsupervised possibilistic clustering (UPC) was proposed in a previous paper. Although UPC is sound, the algorithm has the problem of generating coincident clusters. In this paper, we propose a new clustering model called improved unsupervised possibilistic clustering (IUPC) to overcome this weakness of UPC, and an efficient global optimization technique-differential...
In this paper, a new clustering model called generalized possibilistic c-means (GPCM) is proposed, and an efficient global optimization technique-differential evolution algorithm is used to optimize the proposed model. GPCM modifies possibilistic c-means (PCM) by limiting each cluster center in a fixed feasible region respectively. The feasible region is determined by the fuzzy c-means clustering...
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