• DocumentCode
    1903504
  • Title

    The self-organizing reduced kernel density estimator

  • Author

    Holmström, Lasse ; Hämäläinen, Ari

  • Author_Institution
    Rolf Nevanlinna Inst., Helsinki Univ., Finland
  • fYear
    1993
  • fDate
    1993
  • Firstpage
    417
  • Abstract
    The problem of reducing the number of terms in a kernal density estimator is considered. An online algorithm is proposed, where the kernel centers are tuned using the self-organizing feature map. The performance of the algorithm is compared with standard methods in numerical simulations
  • Keywords
    self-organising feature maps; kernal density estimator; kernel centers; numerical simulations; self-organizing feature map; Clustering algorithms; Kernel; Nearest neighbor searches; Neural networks; Numerical simulation; Pattern recognition; Probability density function; Smoothing methods; Statistical distributions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1993., IEEE International Conference on
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    0-7803-0999-5
  • Type

    conf

  • DOI
    10.1109/ICNN.1993.298593
  • Filename
    298593
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1903504