• DocumentCode
    3539227
  • Title

    Influence of cluster center selection on clustering by hybrid neural network model

  • Author

    Krakovsky, R. ; Forgac, R. ; Mokris, I.

  • Author_Institution
    Dept. of Inf., Catholic Univ., Ruzomberok, Slovakia
  • fYear
    2012
  • fDate
    5-7 Sept. 2012
  • Firstpage
    233
  • Lastpage
    238
  • Abstract
    The paper deals with application of hybrid neural network model consisting of OM-PCNN and Projective ART for multidimensional data clustering. This paper points out the impact of cluster center selection for parameter σ in the Projective ART, which affects the number of clusters and the clustering accuracy.
  • Keywords
    neural nets; pattern clustering; OM-PCNN; cluster center selection; clustering accuracy; hybrid neural network model clustering; multidimensional data clustering; projective ART; Accuracy; Clustering algorithms; Neural networks; Neurons; Subspace constraints; Testing; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Logistics and Industrial Informatics (LINDI), 2012 4th IEEE International Symposium on
  • Conference_Location
    Smolenice
  • Print_ISBN
    978-1-4673-4520-0
  • Electronic_ISBN
    978-1-4673-4518-7
  • Type

    conf

  • DOI
    10.1109/LINDI.2012.6319494
  • Filename
    6319494
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3539227