DocumentCode
2774220
Title
A New CLARANS Algorithm Based on Particle Swarm Optimization
Author
Liu, Xiyu ; Liu, Hong
Author_Institution
Shandong Normal University, PR China
fYear
2006
fDate
Sept. 2006
Firstpage
12
Lastpage
12
Abstract
CLARANS is an efficient and effective clustering method especially in spatial data mining. It is applicable to locate objects with polygon shape. Inspired by its randomized searching nature, and based on the standard particle swarm optimization PSO) algorithm together with the widely used dynamic niche technology, this paper presents a new variation of CLARANS combined with the dynamic niche sharing technique with PSO algorithm. We proposed a cooperative particle swarm optimization CLARANS with cooperative multi-population.
Keywords
Biological system modeling; Clustering algorithms; Clustering methods; Data mining; Learning; Particle swarm optimization; Partitioning algorithms; Shape; Space technology; Statistical analysis; CLARANS; cluster analysis; cooperative; k-medoids; learning; niche sharing.; particle swarm optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Information Technology, 2006. CIT '06. The Sixth IEEE International Conference on
Conference_Location
Seoul
Print_ISBN
0-7695-2687-X
Type
conf
DOI
10.1109/CIT.2006.16
Filename
4019837
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