Title :
Bee colony optimization for clustering
Author :
Oleynik, Alexey ; Subbotin, Sergey ; Oleynik, Alexey
Author_Institution :
Dept. of Software, Zaporozhye Nat. Tech. Univ., Zaporozhye, Ukraine
Abstract :
The method of clustering based on the bee colony optimization is proposed. The main advantage of the developed method is the estimation of the number of cluster in a given dataset where no previous knowledge of the number of clusters is available.
Keywords :
optimisation; pattern clustering; bee colony optimization; clustering; Ant colony optimization; Clustering methods; Merging; Optimization methods; Organisms; Particle scattering; Particle swarm optimization; Recruitment; Space exploration; Unemployment; Agent; Bee Colony Optimization; Clustering; Sample; Swarm Intelligence;
Conference_Titel :
Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET), 2010 International Conference on
Conference_Location :
Lviv-Slavske
Print_ISBN :
978-966-553-875-2
Electronic_ISBN :
978-966-553-901-8
