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《Journal of Zhejiang University(Engineering Science)》 2004-10
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Adaptive approach to fuzzy clustering

YUE Shihong, LI Ping, SONG Zhihuan, GU Ying-kuen(Institute of Industrial Process Control, Zhejiang University, Hangzhou 310027, China)  
Fuzzy c-means (FCM) algorithm has noise-sensitivity and lacks the typicality of membership of point to cluster. An adaptive approach to fuzzy clustering was presented to overcome these problems. The approach could automatically distinguish these important points by multiplying a suitable weight number and these important clusters in dataset. Also, the approach can work well in noisy circumstances and its convergence is proven theoretically. Two experiments were used to verify the effectiveness and efficiency of the proposed approach in this paper.
【Fund】: 国家"863"高技术研究发展计划资助项目(2002AA41201012);; 国家"973"重点基础研究发展计划资助项目(2002CB312200).
【CateGory Index】: TP301
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