Fax clustering algorithm based on adaptive ant colony optimize

摘要：

The fax clustering is that the same or similar faxes will be clustered into one group in mass faxes. In order to improve accuracy of clustering, a fax clustering algorithm based on adaptive ant colony optimization was proposed in this paper. The algorithm simulates ant feeding theory, and improves the coefficient of pheromone updating, and avoids falling into local optimum. The experimental results show that the algorithm has good robustness. The effect of clustering is improved obviously.

关键词： fax clustering ants colony pheromone robustness

作者: Yu Hongtao Li Qing Hou Ying

作者单位: National Digital Switching System Engineering and Technological Research Center Zhengzhou, China

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 2031-2036

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）