Fuzzy clustering of web documents using equivalence relations and fuzzy   hierarchical clustering
  The conventional clustering algorithms have difficulties in handling the challenges posed by the collection of natural data which is often vague and uncertain. Fuzzy clustering methods have the potential to manage such situations efficiently. Fuzzy clustering method is offered to construct clusters with uncertain boundaries and allows that one object belongs to one or more clusters with some membership degree. In this paper, an algorithm and experimental results are presented for fuzzy clustering of web documents using equivalence relations and fuzzy hierarchical clustering. 
Satendra kumar, Mamta kathuria, Alok Kumar Gupta and Monika Rani
cs.IR