关键词: 可能性C-均值聚类（PCM）, 模糊C均值（FCM）, 协同模糊聚类

Abstract: Fuzzy C-Means（FCM） algorithm is sensitive to noise and Possibilistic C-Means（PCM） algorithm is very sensitive to the initialization of cluster center and generates coincident clusters. With the collaborative relations among different feature subsets, the collaborative fuzzy clustering is combined with other clustering algorithms to make its clustering result better than that of the one with the original algorithm. An improved fuzzy clustering algorithm is proposed based on the combination of PCM and collaborative fuzzy clustering. The experimental results on the data sets show the effectiveness of the proposed method.

Key words: Possibilistic C-Means clustering（PCM）, Fuzzy C-Means（FCM）, collaborative fuzzy clustering