International Journal of Computer Technology and Electronics Engineering
Web is playing a vital role as a resource of information. One can upload, download, access the data from web for decision making to get data query independent technique is already developed. But to have the proper data one has to go for query dependent summarization. As many documents are having similarity in them the authors can use clustering of the document to reduce mapping of the query with the available document. This paper focuses on analysis of document summarization using clustering technique.