期刊名称：International Journal of Advanced Computer Research
印刷版ISSN：2249-7277
电子版ISSN：2277-7970
出版年度：2012
卷号：2
期号：4
页码：157-160
出版社：Association of Computer Communication Education for National Triumph (ACCENT)
摘要：The most widely used clustering algorithm implementing the fuzzy philosophy is Fuzzy C-Means (FCM) .In this paper, we have proposed a new Hybrid FCM with Genetic Algorithm (GA), we get an improved FCM algorithm which has not only the global search capability of GA but also the local search capability of FCM, and hence can better solve the clustering problem. An improved version of this hybrid clustering algorithm is, therefore, proposed to reduce the number of iterations. The proposed algorithm is tested with MSNBC.com web access logs collected from UCI (University of California Irvine) dataset repository.
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