A SURVEY OF CLUSTERING TECHNIQUES

Sagar K.Naik, Gajanan Gawde

Abstract: Data mining involves working with very huge amount of data. This data always contains some natural groups of data points wherein the data points within these groups (clusters) are identical to each other. Finding these set of clusters is an unsupervised approach and various clustering methods exists to accomplish this task. Density based, partitioning based, hierarchical and grid based are some of the common clustering methods which groups the similar data in the clusters with common goal of increasing the intra cluster similarity and decreasing the inter cluster similarity. Each of these methods contains several algorithms which are briefly discussed in this review paper

Keywords: hierarchical,partitional,grid,density based clustering,spatial data;

DOI: https://doi.org/10.15623/ijret.2015.0418004