• DocumentCode
    1818317
  • Title

    2D order of self-organizing Kristal maps

  • Author

    Azcarraga, Arnulfo P. ; Lim, Marlene Rose

  • Author_Institution
    Coll. of Comput. Studies, De La Salle Univ., Manila, Philippines
  • Volume
    1
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    510
  • Abstract
    This paper presents two metrics that measure the disorder of 2D self-organizing maps. These are the average direct neighbor distance and the average unit disorder. This theoretical work on the order of 2D self-organizing maps is done on Kristal maps, a variant of the original Kohonen model. It is shown that Kristal maps, when adequately trained, produce orderings that are superior to any of the known 2D orderings, such as the Canter-diagonal, Morton, Peano-Hilbert, raster-scan, row-prime, spiral, and random orderings
  • Keywords
    learning (artificial intelligence); self-organising feature maps; 2D order metrics; 2D self-organizing maps; Kohonen model; Kristal maps; average direct neighbor distance; average unit disorder; learning; neural nets; Data analysis; Educational institutions; Euclidean distance; Mathematical analysis; Neural networks; Self organizing feature maps; Spirals;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1999. IJCNN '99. International Joint Conference on
  • Conference_Location
    Washington, DC
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-5529-6
  • Type

    conf

  • DOI
    10.1109/IJCNN.1999.831549
  • Filename
    831549