Density link-based methods for clustering web pages

Authors:
Morteza Haghir Chehreghani;Hassan Abolhassani;Mostafa Haghir Chehreghani
Affiliations:
Web Intelligence Laboratory, Department of Computer Engineering, Sharif University of Technology, Tehran, Iran;Web Intelligence Laboratory, Department of Computer Engineering, Sharif University of Technology, Tehran, Iran;Web Intelligence Laboratory, Department of Computer Engineering, Sharif University of Technology, Tehran, Iran
Venue:
Decision Support Systems
Year:
2009

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Abstract

World Wide Web is a huge information space, making it a valuable resource for decision making. However, it should be effectively managed for such a purpose. One important management technique is clustering the web data. In this paper, we propose some developments in clustering methods to achieve higher qualities. At first we study a new density based method adapted for hierarchical clustering of web documents. Then utilizing the hyperlink structure of web, we propose a new method that incorporates density concepts with web graph. These algorithms have the preference of low complexity and as experimental results reveal, the resultant clusters have high quality.