Fuzzy Clustering in Web Mining

Conventional clustering means classifying the given data objects as exclusive subsets (clusters).That means we can discriminate clearly whether an object belong 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 con-sider to what degree do the object belong to the cluster