文章基本信息

标题：PSO Clustering with Preprocessing of Data Using Artificial Immune System
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作者：Ch. Suresh ; E. Vinod kumar ; L.v.v.r.k. Sriharsha 等
期刊名称：Computer and Information Science
印刷版ISSN：1913-8989
电子版ISSN：1913-8997
出版年度：2010
卷号：4
期号：1
页码：163
DOI：10.5539/cis.v4n1p163
语种：English
出版社：Canadian Center of Science and Education
摘要：It has been proved by several researchers that particle swarm optimization has shown better results for clustering large datasets. In this paper we present a different approach to that of conventional particle swarm optimization technique. We have used aiNet algorithm of Artificial Immune System(AIS) to preprocess the data i.e. generating the antibodies with more affinity values among different datasets .The obtained result is given to PSO as centroids to get better intra cluster distance compared to that of randomly generated centroids. The comparisons reveal the superiority of AIS over PSO approach for data clustering.