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A New Hybrid Ant Colony Algorithm for Clustering Problem

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1 Author(s)
Gao Shang ; Sch. of Comput. Sci. & Eng., Jiangsu Univ. of Sci. & Technol., Zhenjiang

The known mathematical model for clustering problems is given in this paper. With the K-Means algorithm, the simulated annealing algorithm and a novel hybrid ant colony algorithm is integrated with the K-means algorithm to solve clustering problems. The advantages and shortages of K-Means algorithm, simulated annealing algorithm and the hybrid ant colony algorithm are then analyzed, so that effectiveness of the hybrid ant colony algorithm would be illustrated through results.

Published in:

Intelligent Information Technology Application Workshops, 2008. IITAW '08. International Symposium on

Date of Conference:

21-22 Dec. 2008