聚类搜索引擎研究进展浅析

　　摘要：聚类搜索是目前互联网信息检索和数据挖掘领域的研究热点。给出了聚类搜索引擎的基本工作过程并据此概述其国内外技术发展现状，从聚类对象、聚类功能、聚类算法三个方面对现有聚类搜索引擎进行分析，从工作流程、聚类方法、应用现状等方面对两个典型聚类搜索系统进行了分析和评价，最后给出了聚类搜索引擎的发展趋势。
　　关键词：Web数据；聚类搜索；聚类算法
　　中图分类号：TP391文献标识码：A文章编号：1009-3044(2011)22-5398-03
　　Research Development of Clustering Search Engine
　　CAO Yu1, YIN Gang1, LI Xiang2, CHENG Rong-bin2, WANG Huai-min1
　　(1.School of Computer, National University of Defense Technology, Changsha 410073, China; 2.Armed Police Command College in Hangzhou, Hangzhou 30023, China)
　　Abstract: Clustering search is a hot topic in both Internet-based information retrieval and data mining. This paper defines the basic work process of clustering search engines and gives an overview of thEir current research states; analyzes the clustering search engines based on thEIr clustering objects, functions and algorithms; analyzes and evaluates two important clustering search systems from the their working processes, clu

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