  People are always in search of matters for which they are prone to use
internet, but again it has huge assemblage of data due to which it becomes
difficult for the reader to get the most accurate data. To make it easier for
people to gather accurate data, similar information has to be clustered at one
place. There are many algorithms used for clustering of relevant information in
one platform. In this paper, K-Medoids clustering algorithm has been employed
for formation of clusters which is further used for document summarization.
