Clustering with weighted hyperlink and sub similarity matrix

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	Clustering with weighted hyperlink and sub similarity matrix
	Wu, Ping 1,2; Song, Han-Tao 2; Zhang, Li-Ping 2; Wu, Zheng-Yu 2
刊名	Journal of Beijing Institute of Technology (English Edition)
	2006-06-01
卷号	15 期号:2 页码:177-180
关键词	Algorithms Data processing Evaluation Matrix algebra Online searching Structures (built objects) Clustering Hyperlink Similarity matrix Web page
ISSN号	10040579
英文摘要	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.
语种	英语
出版者	Beijing Institute of Technology
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/112149]
专题	兰州理工大学
作者单位	1.College of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, China 2.School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China;
推荐引用方式 GB/T 7714	Wu, Ping,Song, Han-Tao,Zhang, Li-Ping,et al. Clustering with weighted hyperlink and sub similarity matrix[J]. Journal of Beijing Institute of Technology (English Edition),2006,15(2):177-180.
APA	Wu, Ping,Song, Han-Tao,Zhang, Li-Ping,&Wu, Zheng-Yu.(2006).Clustering with weighted hyperlink and sub similarity matrix.Journal of Beijing Institute of Technology (English Edition),15(2),177-180.
MLA	Wu, Ping,et al."Clustering with weighted hyperlink and sub similarity matrix".Journal of Beijing Institute of Technology (English Edition) 15.2(2006):177-180.