• DocumentCode
    3390367
  • Title

    Algorithm of nested clustering for unsupervised learning

  • Author

    Albus, J. ; Lacaze, A. ; Meystel, A.

  • Author_Institution
    Intelligent Syst. Div., US Dept. of Commerce, Boulder, CO, USA
  • fYear
    1995
  • fDate
    27-29 Aug 1995
  • Firstpage
    197
  • Lastpage
    202
  • Abstract
    Autonomous learning in the architectures of intelligent control requires special procedures performed upon acquired knowledge. This affects the structure of world representation and it is intimately linked with mechanisms of behavior generation. This paper illuminates algorithms of autonomous learning performed via nested clustering which is goal driven and exercises simulation of decision making process
  • Keywords
    intelligent control; pattern recognition; unsupervised learning; autonomous learning; behavior generation; intelligent control; nested clustering; unsupervised learning; Clustering algorithms; Control systems; Decision making; Intelligent robots; Intelligent systems; Learning systems; Machine learning; NIST; US Department of Commerce; Unsupervised learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control, 1995., Proceedings of the 1995 IEEE International Symposium on
  • Conference_Location
    Monterey, CA
  • ISSN
    2158-9860
  • Print_ISBN
    0-7803-2722-5
  • Type

    conf

  • DOI
    10.1109/ISIC.1995.525059
  • Filename
    525059
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3390367