Research of Text Clustering Based on Ant Colony Algorithm

In order to improve the accuracy of text clustering and clustering of convergence, Ant Colony clustering algorithm was improved. Measures for improvement consists of 3 main aspects, namely modified linear iteration stopping conditions, dynamic adjustment of ants observed radius, change ants moving strategy. An experiment was finished in Fudan University on the Chinese text corpus.Eexperimental results show that the improved Ant Colony clustering algorithm can speed up the convergence of the text clustering and improved the accuracy of text clustering.