Clustering method based on fuzzy equivalence relation

Fuzzy clustering techniques are used to construct clusters with uncertain boundaries and allows that one object belongs to overlapping clusters with some membership degree. In other words, the fuzzy clustering is to consider not only the belonging status of object to the clusters, but also to consider to what degree do the object belong to the cluster. In this paper, a technique called “fuzzy hierarchical clustering” is being proposed that creates the clusters of web documents using fuzzy equivalence relation.