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http://dx.doi.org/10.5391/JKIIS.2002.12.6.543

Majority-Voting FCM with Implied Validity Measure  

Lee, Gang-Hwa (영남대학교 전자정보공학부)
Lee, Dong-Il (영남대학교 전자정보공학부)
Lee, Suk-Gyu (영남대학교 전자정보공학부)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.12, no.6, 2002 , pp. 543-548 More about this Journal
Abstract
It is well known that FCM is an indispensible tool for fuzzy clustering. The problems of using FCM are 1) it is sensitive to the initial random membership functions and 2) FCM inherently requires the number of clusters. Hence we need to run FCM algorithms with an appropriate validity measure until we find a suitable number of clusters. In this paper, we suggest the Majority-Voting FCM with implied validity measure. With this algorithm, we can solve the aforementioned problems. The working simulation results are provided. The contributions are 1) MV-FCM algorithm and 2) its definitive capability of being an excellent validity measure.
Keywords
FCM; MV-FCM;
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