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The conventional clustering algorithms have difficulties in handling thechallenges posed by the collection of natural data which is often vague anduncertain. Fuzzy clustering methods have the potential to manage suchsituations efficiently. Fuzzy clustering method is offered to constructclusters with uncertain boundaries and allows that one object belongs to one ormore clusters with some membership degree. In this paper, an algorithm andexperimental results are presented for fuzzy clustering of web documents usingequivalence relations and fuzzy hierarchical clustering.

Fuzzy clustering of web documents using equivalence relations and fuzzy hierarchical clustering