Title :
K-NichePSO clustering
Author :
Niasar, N. Salmani ; Yazdani, S. ; Mohajeri, M.
Author_Institution :
Comput. Eng., IAU, Tehran
Abstract :
In clustering algorithm based on criterion function optimization, at first the numbers of clusters are predefined the clustering will be done. For obtaining a suitable result, these algorithms must be suitable with different number of clusters, after that result will be evaluated. To solve this problem a new method is presented, in this article NichePSO algorithm which enables us to calculate the number of clusters and estimate their position by considering data automatically.
Keywords :
particle swarm optimisation; pattern clustering; K-NichePSO clustering; criterion function optimization; particle swarm optimization; Acceleration; Clustering algorithms; Cybernetics; Equations; Genetic algorithms; Machine learning; Machine learning algorithms; Optimization methods; Organizing; Particle swarm optimization; Clustering; K-means; KPSO; Niche; PSO;
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
DOI :
10.1109/ICMLC.2008.4620859
