Review of various Techniques in Clustering

This paper presents the review of various techniques which are used for clustering in data mining. Clustering is the process of dividing data into group of similar objects. Clustering involves various techniques so that the data can be parti tioned into groups of same data like k - means algorithm, k - medoid, BIRCH algorithm, chameleon, CLIQUE algorithm, DBSCAN algorithm . In this paper, the overview of these entire algorithms has been discussed.