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Author Gupta, Karunesh ♦ Shrivastava, Manish
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Improved Version ♦ Clustering Problem ♦ Genetic Algorithm ♦ Local Search Capability ♦ Improved Fcm Algorithm ♦ Com Web Access Log ♦ New Hybrid Fcm ♦ Global Search Capability ♦ Hybrid Clustering Algorithm ♦ Fuzzy Philosophy ♦ California Irvine ♦ Fuzzy C-means
Abstract 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.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study