Title :
Data clustering method based on ant swarm intelligence
Author :
Wang Yong ; Wei Peng-Cheng
Author_Institution :
Comput. Dept., Chongqing Educ. Coll., Chongqing, China
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;
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
DOI :
10.1109/ICCSIT.2009.5234558
