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DATAMINING AND CLUSTERING USING ACO ALGORITHM

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Author(s): San A

Journal: Journal of Current Engineering Research
ISSN 2250-2637

Volume: 2;
Issue: 3;
Date: 2012;
Original page

Keywords: DATAMINING | CLUSTERING | ALGORITHM

ABSTRACT
Ant Colony Optimization (ACO) algorithm has evolved as the most popular way to attack the combinatorial problem. The ACO algorithm employs multi agent called Ants that are capable of finding optimal solution for given problem instance. ACO algorithms are iterative in nature. As the iteration proceeds, solution converges to the optimized solution. In this paper, we propose new updation mechanism based on clustering techniques, which is aimed at exploring the nearby solution region. We also report in detail the impact on performance due to integration of Data mining, cluster and ACO.
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