A NEW data clustering Using multi-agent turf system

被引：0

作者：

Sun Lin ^{[1
,2
]}

Yan Jing ^{[2
]}

Chen Yongmin ^{[3
]}

Luo Songtao ^{[2
]}

机构：

[1] Huazhong Univ Sci & Technol, Dept Control Engn, Wuhan 430074, Peoples R China

[2] Beijing Vocat Coll Finance & Commerce, Beijing 100001, Peoples R China

[3] TCL Holdings CO LTD, Shenzhen 518000, Peoples R China

来源：

2009 IEEE INTERNATIONAL SYMPOSIUM ON IT IN MEDICINE & EDUCATION, VOLS 1 AND 2, PROCEEDINGS | 2009年

关键词：

D O I：

10.1109/ITIME.2009.5236409

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

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.

引用

页码：304 / +

页数：2

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