Clustering Techniques: A Comprehensive Study of Various Clustering Techniques

Abstract

Clustering means dividing the data into groups (known as clusters) in such a way that objects belonging to a group are similar to each other but they are dissimilar to objects belonging to other groups. This paper is intended to give a review of various clustering techniques in data mining. Various clustering methods reviewed are: Partitioning Methods, Hierarchical Methods, Density Based Clustering Methods, Grid-Based Methods, etc.

Keywords: Clustering, Density, Grid, Hierarchical, Medoids, Outliers, Partitioning