Web Based Fuzzy Clustering Analysis
Sote A.M. · 2014
World wide web is a huge repository of information and there is a tremendous increase in the volume of information daily. The numbers of users are also increasing day by day. To reduce users browsing time lot of research is taken place. Clustering plays an important role in a broad range of applications like Web analysis, CRM, marketing, medical diagnostics, computational biology, and many others. Clustering is the grouping of similar instances or objects. The key factor for clustering is some sort of measure that can determine whether two objects are similar or dissimilar. Cluster analysis is a technique for deriving natural groups present in the data. Fuzzy clustering uses membership degrees to assign data objects to clusters in order to handle uncertain data that shares properties of different clusters. Fuzzy clustering is an appropriate method since it separates the objects that are definite members of a cluster from the objects that are only possible members of a cluster. In this paper we focus on comparing and analyzing different fuzzy clustering algorithm on web data set.