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Sixth IEEE International Conference on Computer and Information Technology (CIT'06)
A New CLARANS Algorithm Based on Particle Swarm Optimization
Seoul, Korea
September 20-September 22
ISBN: 0-7695-2687-X
Xiyu Liu, Shandong Normal University, PR China
Hong Liu, Shandong Normal University, PR China
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.
Index Terms:
particle swarm optimization, CLARANS, cluster analysis, k-medoids, cooperative learning, niche sharing.
Citation:
Xiyu Liu, Hong Liu, "A New CLARANS Algorithm Based on Particle Swarm Optimization," cit, pp.12, Sixth IEEE International Conference on Computer and Information Technology (CIT'06), 2006
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