Suppressed fuzzy c-means clustering algorithm

Authors:
Jiu-Lun Fan;Wen-Zhi Zhen;Wei-Xin Xie
Affiliations:
Department of Information and Control, Xi'an Institute of Post and Telecommunications, P.O. Box 372, Xi'an, Shaanxi 710061 China;Department of Information and Control, Xi'an Institute of Post and Telecommunications, P.O. Box 372, Xi'an, Shaanxi 710061 China and School of Electronic Engineering, Xidian University, Xi'an 7100 ...;School of Information Engineering, Shenzhen University, Shenzhen 518060, China
Venue:
Pattern Recognition Letters
Year:
2003

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Abstract

Based on the defect of rival checked fuzzy c-means clustering algorithm, a new algorithm: suppressed fuzzy c-means clustering algorithm is proposed. The new algorithm overcomes the shortcomings of the original algorithm, establishes more natural and more reasonable relationships between hard c-means clustering algorithm and fuzzy c-means clustering algorithm.