An Ant Colony Clustering Algorithm Based on Directional Similarity

摘要：

The paper presents an ant colony clustering algorithm based on directional similarity ACCADS. Firstly, a directional similarity function is in oduced in the Ant Colony Clustering Algorithm as similarity measure. Secondly, two response thresholds are used to determinate the action of ants and resolve the problem of the average similarity of LF Algorithm. The experimental results show ACCADS can cluster directional data effectively.

关键词： directional similarity ant colony clustering response threshold

作者: ZHANG Bin SU Yidan LI Zhujuan

作者单位: School of Computer, Electronics and Information Guangxi University Nanning, Guangxi Province 530004, China

会议类型: 国际会议

会议名称: 第二届国际计算机新科技与教育学术会议(Proceedings of the Second International Conference on Computer Science & Education ICCSE2007)

会议地点: 武汉

会议语种:英文

页码: 303-306

在线出版日期: 2007-07-25（万方平台首次上网日期，不代表论文的发表时间）