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Clustering with Weighted Hyperlink and Sub Similarity Matrix

Clustering with Weighted Hyperlink and Sub Similarity Matrix
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摘要 A web page clustering algorithm called PageCluster and the improved algorithm ImPageCluster solving overlapping are proposed. These methods not only take the web structure and page hyperlink into account, but also consider the importance of each page which is described as in-weight and out-weight. Compared with the traditional clustering methods, the experiments show that the runtimes of the proposed algorithms are less with the improved accuracies. A web page clustering algorithm called PageCluster and the improved algorithm ImPageCluster solving overlapping are proposed. These methods not only take the web structure and page hyperlink into account, but also consider the importance of each page which is described as in-weight and out-weight. Compared with the traditional clustering methods, the experiments show that the runtimes of the proposed algorithms are less with the improved accuracies.
出处 《Journal of Beijing Institute of Technology》 EI CAS 2006年第2期177-180,共4页 北京理工大学学报(英文版)
基金 Sponsored bythe Huo Ying-Dong Education Foundation of China(91101)
关键词 CLUSTERING web page HYPERLINK similarity matrix PageCluster ImPageCluster clustering web page hyperlink similarity matrix PageCluster ImPageCluster
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