DocumentCode
2646854
Title
Clustering data with Particle Swarm Optimization using a new fitness
Author
Toreini, Ehsan ; Mehrnejad, Maryam
Author_Institution
Dept. of Comput. Eng., Islamic Azad Univ., Mashhad, Iran
fYear
2011
fDate
28-29 June 2011
Firstpage
266
Lastpage
270
Abstract
Data clustering has been studied for a long time and every day trends are proposed for better outcomes in this field. One of the latest trends in this area is the application of Particle Swarm Optimization (PSO) in clustering which has good potential for improvements. In this paper, we consider a new fitness function for our PSO-based clustering method and compared it with the previous ones. Experimental results show that our method has better outcomes than the other ones.
Keywords
particle swarm optimisation; pattern clustering; PSO-based clustering method; data clustering; particle swarm optimization; Clustering algorithms; Equations; Iris; Mathematical model; Particle swarm optimization; Partitioning algorithms; Clustering; Data Clustering; Evolutionary Clustering; Particle Swarm Optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Mining and Optimization (DMO), 2011 3rd Conference on
Conference_Location
Putrajaya
ISSN
2155-6938
Print_ISBN
978-1-61284-211-0
Electronic_ISBN
2155-6938
Type
conf
DOI
10.1109/DMO.2011.5976539
Filename
5976539
Link To Document