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There are a large quantity of non-certain and non-structure contents in the Web text at the present time. It is difficult to cluster the text by some normal classification methods. An algorithm of Web text clustering analysis based on fuzzy set is proposed in this paper, and the algorithm has been described in detail by example. The technique can improve the algorithm complexity of time and space, increase the robustness of the algorithm. To check the accuracy and efficiency of the algorithm, the comparative analysis of the sample and test data is provided in the end.
Computer Science and Computational Technology, 2008. ISCSCT '08. International Symposium on (Volume:1 )
Date of Conference: 20-22 Dec. 2008