Web usage mining is a very important tool to extract the hidden business intelligence data from large databases. The extracted information provides the organizations with the ability to produce results more effectively to improve their businesses and increasing of sales. Co-clustering is a powerful bipartition technique which identifies group of users associated to group of web pages. These associations are quantified to reveal the users' interest in the different web pages' clusters. In this paper, fuzzy co-clustering algorithm is proposed for clickstream data to identify the subset of users of similar navigational behavior/interest over a subset of web pages of a website.