A NEW data clustering Using multi-agent turf system

摘要：

In this paper, we proposed a new data clustering method MATS that was inspired by animals, for example, the dog or the ant, which use scent to mark out their turf. MATS can automatically find clusters, depending on a few parameters that are not directly related to the data set. In addition, there are some existence technique was also utilized in our method, such as the density concept and cluster validity index (DB-index). The experiment results verified that MATS is able to discover clusters with varying shapes and is effective when applied to image segmentation.

作者: SUN lin YAN Jing CHEN Yongmin LUO Songtao

作者单位: Department of Control Engineering, Huazhong University of Science and Technology,Wuhan, 430074,China Beijing Vocational College of Finance and Commerce , Beijing,100001,China TCL Holdings CO., LTD, Shenzhen, 518000, China

会议类型: 国际会议

会议名称: 2009 IEEE International Symposium on IT in Medicine & Education( IEEE 教育与医药信息化国际会议)

会议地点: 济南

会议语种:英文

页码: 304-307

在线出版日期: 2009-08-14（万方平台首次上网日期，不代表论文的发表时间）