DocumentCode :
3419673
Title :
A Novel Ant-based Clustering Algorithm with an Attractive Force Field
Author :
Zhang, Lei ; Cao, Qixin
Author_Institution :
State Key Lab. of Mech. Syst. & Vibration, Shanghai Jiao Tong Univ., Shanghai, China
Volume :
3
fYear :
2010
fDate :
23-24 Oct. 2010
Firstpage :
567
Lastpage :
572
Abstract :
This paper presents a novel ant-based clustering algorithm. Different from conventional ant-based clustering algorithms in which the objects are picked up or dropped down by virtual ants, our propose algorithm looks each object as an ant. The objects are first projected to a plane randomly. Then an attractive force field is created. The object (ant) is attracted by the similar ones in its local surrounding and moves to a certain place. The moving direction and moving range are determined by the composite of all attractive forces. The clusters are created by this attractiveness after many iterative cycles. The paper gives the detailed process of the algorithm. The performance of the algorithm is compared with other classic algorithms on several simulated and real datasets. The results are very encouraging in terms of the computation efficiency and clustering quality.
Keywords :
pattern clustering; ant-based clustering algorithm; attractive force field; iterative cycle; moving direction; moving range; Algorithm design and analysis; Clustering algorithms; Force; Partitioning algorithms; Planning; Robots; Silicon carbide; ant-based clustering; attractive force field; swarm intelligence;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-8432-4
Type :
conf
DOI :
10.1109/AICI.2010.357
Filename :
5656761
Link To Document :
بازگشت