Data Clustering Method based on Ant Swarm Intelligence

被引：1
作者：
Wang Yong [1 ]
Wei Peng-Cheng [1 ]
机构：
[1] Chongqing Educ Coll, Dept Comp, Chongqing, Peoples R China
来源：
2009 2ND IEEE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY, VOL 4 | 2009年
关键词：
swarm intelligence; clustering; aco; ALGORITHM;
D O I：
10.1109/ICCSIT.2009.5234558
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Clustering analysis based on ant swarm intelligence is discussed. As traditional clustering algorithm is easy to obtain local optimum, it uses ant swarm intelligence to obtain global search. It improves the clustering by locating the objects in a cluster with the probability, which is updated by the pheromone, while the rule of updating pheromone is according to total within cluster variance. According to the simulation results, the proposed algorithm outperforms several existing approaches such as GA, SOM.
引用
收藏
页码：358 / 361
页数：4
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