Evolutionary and Iterative Crisp and Rough Clustering II: Experiments

Authors:
Manish Joshi;Pawan Lingras
Affiliations:
Department of Computer Science, North Maharashtra University, Jalgaon, India;Department of Mathematics and Computing Science, Saint Mary's University, Halifax, Canada B3H 3C3
Venue:
PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
Year:
2009

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Abstract

In this second part of the paper, we compare the cluster quality of K-means, GA K-means, rough K-means, GA rough K-means and GA rough K-medoid algorithms. We experimented with a real world data set, and a standard data set using total within cluster variation, precision and execution time as the measures of comparison.