• DocumentCode
    1749093
  • Title

    A growing self-organizing algorithm for dynamic clustering

  • Author

    Ohta, Ryuji ; Saito, Toshimichi

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Hosei Univ., Japan
  • Volume
    1
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    469
  • Abstract
    Presents a growing self-organizing algorithm for dynamic clustering. Controlling a signal counter of each cell, the network can grow. Also, if there exists undesired cell for the clustering, the cell can be deleted virtually. Our algorithm can reinforce the clustering function and the learned network can adapt flexibly to time-variant input space
  • Keywords
    pattern clustering; self-organising feature maps; unsupervised learning; clustering function; dynamic clustering; growing self-organizing algorithm; learned network; signal counter; time-variant input space; Clustering algorithms; Counting circuits; Data mining; Force control; Heuristic algorithms; Image coding; Neural networks; Organizing; Speech recognition; Unsupervised learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
  • Conference_Location
    Washington, DC
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-7044-9
  • Type

    conf

  • DOI
    10.1109/IJCNN.2001.939065
  • Filename
    939065
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1749093