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In this paper, a new prototype for fuzzy type-2 clustering is proposed. The proposed model considers ellipsoid shape for clusters and ellipsoid focal vectors are basis for measuring the distance from clusters, instead of cluster centers. Therefore, the degrees of belonging to clusters are defined as interval fuzzy type-2 sets indicated by the upper and lower membership values. The results of proposed...
This paper presents a new prototype of fuzzy type-2 clustering entitle Dual Center Fuzzy Type-2 Clustering based on possibilistic c-means(PCM). We mainly focus on uncertainty associated with the cluster centers and define a pair of points as center for each cluster. This model can recognize clusters with asymmetric shape. The results of proposed model on the sample data sets are compared with fuzzy...
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