TITLE

Web Text Clustering and Evaluation Algorithm Based on Fuzzy Set

AUTHOR(S)
Yun Peng; Hongxin Wan
PUB. DATE
January 2013
SOURCE
International Journal of Digital Content Technology & its Applic;Jan2013, Vol. 7 Issue 1, p11
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Because of uncertainty and non-structure of web text, it is very difficult to cluster the text by some normal classification methods. An algorithm of web text clustering based on fuzzy set is proposed, and the algorithm has been described in detail by example in this paper. The technique mentioned above can decrease the algorithm complexity of time and space, at the same time increase the robustness of clustering. In order to evaluate the clustering results, a fuzzy evaluation algorithm about elements of cluster is proposed. There are a lot of uncertain data in web text cluster, so the traditional method of evaluation to the incomplete data is very difficult. Evaluation algorithm based on fuzzy set can improve the reliability and accuracy of clustering evaluation. The process of clustering evaluating is described by example in detail.
ACCESSION #
98865160

 

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