A Comparative Study of clustering algorithms Using weka tools
Bharat S. Chaudhari, Manan Parikh · 2012
Data clustering is a process of putting similar data into groups. A clustering algorithm partitions a data set into several groups based on the principle of maximizing the intra-class similarity and minimizing the inter-class similarity. This paper analyze the three major clustering algorithms: K-Means, Hierarchical clustering and Density based clustering algorithm and compare the performance of these three major clustering algorithms on the aspect of correctly class wise cluster building ability of algorithm. Performance of the 3 techniques are presented and compared using a clustering tool WEKA.