DocumentCode
2967940
Title
Shaping Up Clusters with PSO
Author
Breaban, Mihaela ; Luchian, Silvia
Author_Institution
Fac. of Comput. Sci., Alexandru loan Cuza Univ., Iasi, Romania
fYear
2008
fDate
26-29 Sept. 2008
Firstpage
532
Lastpage
537
Abstract
This paper presents a method for enhancing the performance of current clustering algorithms; the method is based on Particle Swarm Optimization techniques. Namely, a preprocessing step aims at bringing rdquocloserrdquo objects which are likely to belong to the same cluster, while increasing the distance between objects likely to belong to different clusters. Experimental results show significantly improved performance for further clustering procedures especially when non-spherical clusters are involved.
Keywords
particle swarm optimisation; pattern clustering; current clustering algorithm; particle swarm optimization; Algorithm design and analysis; Clustering algorithms; Clustering methods; Computer science; Euclidean distance; Particle swarm optimization; Partitioning algorithms; Scientific computing; Shape measurement; Size measurement; PSO; clustering;
fLanguage
English
Publisher
ieee
Conference_Titel
Symbolic and Numeric Algorithms for Scientific Computing, 2008. SYNASC '08. 10th International Symposium on
Conference_Location
Timisoara
Print_ISBN
978-0-7695-3523-4
Type
conf
DOI
10.1109/SYNASC.2008.70
Filename
5204866
Link To Document