• DocumentCode
    2050797
  • Title

    Bee colony optimization for clustering

  • Author

    Oleynik, Alexey ; Subbotin, Sergey ; Oleynik, Alexey

  • Author_Institution
    Dept. of Software, Zaporozhye Nat. Tech. Univ., Zaporozhye, Ukraine
  • fYear
    2010
  • fDate
    23-27 Feb. 2010
  • Firstpage
    286
  • Lastpage
    286
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • 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
  • Type

    conf

  • Filename
    5445919