2008•Journal of Yangzhou UniversityRequires access
A new clustering algorithm based on ant colony algorithm
Shen Jieb
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Abstract
To improve the quality of clustering analysis, the paper proposes a new clustering algorithm based on ant colony algorithm. It improves the traditional k-means algorithm, overcome the deficiency that the traditional k-means algorithm must be sure of the kinds and must select the clustering. Then the paper combines k-means algorithm with ant colony algorithm. The experimental results show that the method has a higher effect.