期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2013
卷号：2
期号：1
页码：324
出版社：S&S Publications
摘要：Clustering is the approach in which it groups data items having similar properties or behavior. This paper describesmost representative techniques such as fuzzy c-means, FCM ant colony optimization as well as FCM particle swarmoptimization for accurate results to overcome the limitations of traditional clustering techniques. The experimental result showshow these techniques are accurate and effective to search better cluster centers in Web usage mining.
关键词：Fuzzy C-means; Particle swarm optimization; Ant colony optimization; clustering
