DocumentCode
3311728
Title
Data clustering method based on ant swarm intelligence
Author
Wang Yong ; Wei Peng-Cheng
Author_Institution
Comput. Dept., Chongqing Educ. Coll., Chongqing, China
fYear
2009
fDate
8-11 Aug. 2009
Firstpage
358
Lastpage
361
Abstract
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.
Keywords
data mining; optimisation; pattern clustering; probability; search problems; ant swarm intelligence; data clustering analysis; data mining; global search; pheromone updation; probability; Ant colony optimization; Cities and towns; Clustering algorithms; Clustering methods; Computer science education; Data mining; Educational institutions; Particle swarm optimization; TV; Traveling salesman problems; aco; clustering; swarm intelligence;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-4519-6
Electronic_ISBN
978-1-4244-4520-2
Type
conf
DOI
10.1109/ICCSIT.2009.5234558
Filename
5234558
Link To Document