Document clustering using sample weighting

Zhang, Chengzhi and Su, Xinning and Zhou, Dingmin Document clustering using sample weighting., 2007 . In ICCC2007, Wuhan (China), 13-15 October 2007. [Conference paper]

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English abstract

Clustering algorithm based on Sample weighting has been noticed recently. In this paper, a novel sample weighting clustering algorithm is presented based on K-Means and fuzzy C-Means algorithm. The algorithm uses academic documents as the clustering objects. The PageRank value of each document is calculated according to the cited relationship among them, and it is used as the weight in the algorithm. Experiments show that the proposed algorithm is effective to improve performance of document clustering.

Item type: Conference paper
Keywords: document clustering; sample weighting clustering; text mining; Page-Rank
Subjects: L. Information technology and library technology. > LM. Automatic text retrieval.
Depositing user: Chengzhi Zhang
Date deposited: 22 Oct 2008
Last modified: 02 Oct 2014 12:13
URI: http://hdl.handle.net/10760/12404

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