Evolutionary and Iterative Crisp and Rough Clustering II: Experiments
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.
KeywordsRough Clustering Crisp Clustering GA based Clustering Cluster Quality
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