文章基本信息

标题：Application of Ant-based Template Matching for Web Documents Categorization
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作者：S.L. Ong ; W.K. Lai ; T.S.Y. Tai 等
期刊名称：Informatica
印刷版ISSN：1514-8327
电子版ISSN：1854-3871
出版年度：2005
卷号：29
期号：2
出版社：The Slovene Society Informatika, Ljubljana
摘要：The self-organization behavior exhibited by ants may be modeled to solve real world clustering problems. The general idea of artificial ants walking around in search space to pick up, or drop an item based upon some probability measure has been examined to cluster a large number of World Wide Web (WWW) documents. However, this idea is extended with the direct application of template matching with a Gaussian Probability Surface (GPS) to constrain the formation of the clusters in pre-defined areas of workspace with these multi-agents in this paper. Some comparisons between the clustering performance of supervised ants using GPS against the typical ants clustering algorithm are shown. Their performance are evaluated on the same dataset consisting of a collection of multi-class web documents. Finally, the paper concludes with some recommendations for further investigation.
关键词：swarm intelligence; ant colony optimization; data clustering; document clustering.