Survey of Cluster Analysis and its Various Aspects

Cluster analysis or clustering is a technique storing logically similar objects together physically. This physical storage is referred as classes in clustering. The data available as input for clustering can be of various types e.g. image, text etc. This process is carried out by different algorithms such as k-mean, fuzzy-C etc. In this paper light is thrown out on various aspects related to cluster analysis. Topics covered are types of cluster, types of data and clustering methods available. Aim is to help the researchers to understand the basics of clustering in a single paper who are interested to work on the same. KeywordsClustering; types of cluster; k-mean; DBSCAN; Grid based