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
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;
Conference_Titel :
Data Mining and Optimization (DMO), 2011 3rd Conference on
Conference_Location :
Putrajaya
Print_ISBN :
978-1-61284-211-0
Electronic_ISBN :
2155-6938
DOI :
10.1109/DMO.2011.5976539
