Performance Enhancement of Clustering Using Variable Tournament Size-Artificial Bee Colony Algorithm

twinkle gupta, Dharmender kumar


In this paper, a new variant of ABC algorithm based on tournament selection called VTS-ABC algorithm is proposed and its application in solving Clustering data sets taken from UCI learning data repository is shown. Its performance is compared with K-means clustering and clustering using standard ABC through several parameters. Simulation results show that the modified algorithm enhances the performance of Clustering by generating more compact and isolated clusters; clusters with less classification entropy, higher purity and higher F-measure. Silhouette plot is also used to show its performance.


Artificial Bee Colony Algorithm; Clustering; Optimization; Tournament selection

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