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DATA CLUSTERING: METHOD AND TECHNIQUES
1
Author(s):
LATESH CHAUDHARY
Vol - 3, Issue- 1 ,
Page(s) : 170 - 181
(2012 )
DOI : https://doi.org/10.32804/IRJMST
Abstract
There are various techniques used for knowledge discovery from large databases, namely Classification, Regression, Association Rules, Decision Trees, Nearest Neighbour Method and Data Clustering etc. In this article we will first define and then try to understand Data Clustering as a method to divide data into meaningful clusters so as to put them to effective and efficient use. We will also study the types of clustering and the various algorithms involved therein and end with the salient characteristics of the Clustering as a Data Mining tool.
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