• DocumentCode
    3373719
  • Title

    Self-Organizing Map with Weighted Connections avoiding false-neighbor effects

  • Author

    Matsushita, Haruna ; Nishio, Yoshifumi

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Tokushima Univ., Tokushima, Japan
  • fYear
    2010
  • fDate
    May 30 2010-June 2 2010
  • Firstpage
    2554
  • Lastpage
    2557
  • Abstract
    This study proposes the Self-Organizing Map with Weighted Connections avoiding false-neighbor effects (WC-SOM). We investigate the effectiveness of WC-SOM in comparison with the conventional SOM, Growing Grid and FN-SOM. We confirm that WC-SOM enables the most flexible self-organization among the four algorithms and can obtain the effective map reflecting the distribution state of the input data using fewer neurons.
  • Keywords
    pattern clustering; self-organising feature maps; data clustering; false neighbor effects; neurons; self organizing map; weighted connections; Clustering algorithms; Frequency; Neurons; Shape; Telephony;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on
  • Conference_Location
    Paris
  • Print_ISBN
    978-1-4244-5308-5
  • Electronic_ISBN
    978-1-4244-5309-2
  • Type

    conf

  • DOI
    10.1109/ISCAS.2010.5537113
  • Filename
    5537113
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3373719