An alternative fuzzy compactness and separation clustering algorithm

Authors:
Miin-Shen Yang;Hsu-Shen Tsai
Affiliations:
Department of Applied Mathematics, Chung Yuan Christian University, Chung-Li, Taiwan;Department of Management Information System, Takming College, Taipei, Taiwan
Venue:
ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
Year:
2005

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Abstract

This paper presents a fuzzy clustering algorithm, called an alternative fuzzy compactness & separation (AFCS) algorithm that is based on an exponential-type distance function. The proposed AFCS algorithm is more robust than the fuzzy c-means (FCM) and the fuzzy compactness & separation (FCS) proposed by Wu et al. (2005). Some numerical experiments are performed to assess the performance of FCM, FCS and AFCS algorithms. Numerical results show that the AFCS has better performance than the FCM and FCS from the robust point of view.