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Comparative Study of Clustering Techniques

Archana C., Jitendra Kumar

Abstract


Data Clustering is grouping of data of similar qualities into clusters. In other words, clustering is a division of similar data into different groups. These groups of data are called clusters. Data are grouped into clusters in such a way that data in the same group are similar and in other groups are dissimilar. Cluster analysis aims to categorize the set of patterns into clusters based on similarity. Various types of clustering techniques analyzed on a dataset. We have used WEKA to compare the various clustering algorithms by taking some parameters on a sample data.

Keywords


Clustering, Data mining, Weka etc.

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