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Journal of Emerging Trends in Computing and Information Sciences >> Call for Papers Vol. 8 No. 3, March 2017

Journal of Emerging Trends in Computing and Information Sciences

Web Document Clustering Using Fuzzy Equivalence Relations

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Author Anjali B. Raut , G. R. Bamnote
ISSN 2079-8407
On Pages 22-27
Volume No. 2
Issue No. Special Issue
Issue Date February 01, 2011
Publishing Date February 01, 2011
Keywords Web Mining, Clustering, Search Engine.


Abstract

Conventional clustering means classifying the given data objects as exclusive subsets (clusters).That means we can discriminate clearly whether an object belongs to a cluster or not. However such a partition is insufficient to represent many real situations. Therefore a fuzzy clustering method is offered to construct clusters with uncertain boundaries and allows that one object belongs to overlapping clusters with some membership degree. In other words, the essence of fuzzy clustering is to consider not only the belonging status to the clusters, but also to consider to what degree do the object belong to the cluster. In this paper, a technique called “Retrieval of Web documents using a fuzzy hierarchical clustering” is being proposed that creates the clusters of web documents using fuzzy hierarchical clustering. 

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