A clustering algorithm based on swarm intelligence

被引：0
|
作者：
Wu, B [1 ]
Shi, ZZ [1 ]
机构：
[1] Chinese Acad Sci, Inst Comp, Lab Intelligent Informat Proc, Beijing 100864, Peoples R China
来源：
2001 INTERNATIONAL CONFERENCES ON INFO-TECH AND INFO-NET PROCEEDINGS, CONFERENCE A-G: INFO-TECH & INFO-NET: A KEY TO BETTER LIFE | 2001年
关键词：
swarm intelligence; self-organization clustering; swarm similarity; probability conversion function;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper focus on swarm intelligence based clustering algorithm. A clustering algorithm based on swarm intelligence is systematically proposed. It derived from a basic model interpreting ant colony organization of cemeteries. Some important concepts, such as swami similarity, swarm similarity coefficient and probability conversion function are also proposed. A simplified probability conversion function is given for simplifying adaptation of parameters, meanwhile the importance of swarm similarity coefficient for the algorithm is analyzed. Experimental results show the good performance of the clustering algorithm.
引用
收藏
页码：C58 / C66
页数：9
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