A Comparative Analysis of Various Cluster Detection Techniques for Data Mining

Abstract

Data mining is a knowledge discovery technique, used for exploring the new facts and relationships among data. It enables a user to uncover hidden information among available datasets. Cluster detection is one of the major techniques, which is used for data mining. In the Cluster detection techniques, User performs mining of data by searching for cluster of elements that are similar to each other. Each implementation of the cluster detection techniques adopts a method of comparing the value of individual datasets with those in their centroids. So, in this paper we have enlisted a few of them. Based on certain parameters, we have carried out a comprehensive analysis of various clustering techniques.