Performance Evaluation of Ant Based Clustering
Published: 2010
Author(s) Name: Ms.Vimal Gaur, Kanika Khurana, Girija, Swati Chopra
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Abstract
Clustering analysis is an important function of data mining. Various clustering methods are need for different domains and applications. A clustering algorithm for data mining based on swarm intelligence called Ant-Cluster is analyzed in this paper. This paper shows the result of an experiment conducted to analyze this Ant Cluster Algorithm and evaluate its performance by generating a random test data. The results illuminate that Ant-Cluster algorithm can get clustering results effectively without giving the number of clusters and have better performance than k-means algorithm.
Keywords : Clustering Algorithm, Data Mining, Swarm Intelligence.
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