• DocumentCode
    2017848
  • Title

    New method for measuring the topology preservation of self-organizing feature maps

  • Author

    Murashima, Sadayuki ; Kashima, Masayuki ; Fuchida, Takayasu

  • Author_Institution
    Dept. of Inf. & Comput. Sci., Kagoshima Univ., Japan
  • Volume
    1
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    273
  • Abstract
    The topology preservation of self-organizing feature maps is an important property which is used in many applications. Various qualitative and quantitative approaches are known for measuring the degree of topology preservation. However, well-received measures for determining the topology preservation have not been presented yet. In this paper, we present a new method for measuring the degree of topology preservation based on the masked Delaunay triangulation. The topology preservation is completed when the masked Delaunay triangulation coincides with the output network shape. We demonstrate the usefulness of this measure for various examples of data manifolds. This method is also applied to measure the degree of topology preservation of the topology-representing network of T. Martinetz et al. (1994). In various simulations, this measure brought a reasonable degree of topology preservation
  • Keywords
    mesh generation; self-organising feature maps; topology; data manifolds; masked Delaunay triangulation; output network shape; self-organizing feature maps; simulations; topology preservation measure; topology-representing network; Computer science; Extraterrestrial measurements; Feature extraction; Image processing; Lattices; Network topology; Neural networks; Neurons; Organizing; Proposals;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Information Processing, 1999. Proceedings. ICONIP '99. 6th International Conference on
  • Conference_Location
    Perth, WA
  • Print_ISBN
    0-7803-5871-6
  • Type

    conf

  • DOI
    10.1109/ICONIP.1999.843999
  • Filename
    843999