Abstract

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 partitioned 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.

Keyword

Clustering, Hierarchical clustering, Data Mining.

Cite this article

.Review of various Techniques in Clustering. International Journal of Advanced Computer Research. 2013;3(10):134-137.

Refference