IMS Manthan (The Journal of Mgt., Comp. Science & Journalism)

2010 | Volume 5 | Issue Issue 1

Performance Evaluation of Ant Based Clustering

1. Ms.vimal Gaur

2. Kanika Khurana

3. Girija

4. Swati Chopra

Received
04-Jun-2026 		Accepted
- 		Published
04-Jun-2026
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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