Title :
A clustering algorithm based on swarm intelligence
Author :
Bin, Wu ; Zhongzhi, Shi
Abstract :
This paper focuses 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 swarm 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
Keywords :
artificial intelligence; data mining; multi-agent systems; probability; ant colony organization; artificial intelligence; clustering algorithm; probability conversion function; self-organization; swarm intelligence; swarm similarity; Algorithm design and analysis; Ant colony optimization; Artificial intelligence; Centralized control; Clustering algorithms; Data analysis; Feedback; Insects; Particle swarm optimization; Robots;
Conference_Titel :
Info-tech and Info-net, 2001. Proceedings. ICII 2001 - Beijing. 2001 International Conferences on
Conference_Location :
Beijing
Print_ISBN :
0-7803-7010-4
DOI :
10.1109/ICII.2001.983036
