• DocumentCode
    3215605
  • Title

    A method for consistent estimation of compact regions for cluster analysis

  • Author

    Murthy, C.A. ; Majumder, D. Dutta

  • Author_Institution
    Dept. of Electron. & Commun. Sci., Indian Stat. Inst., Calcutta, India
  • Volume
    i
  • fYear
    1990
  • fDate
    16-21 Jun 1990
  • Firstpage
    665
  • Abstract
    The mathematical formulation of clustering problems is considered. An attempt is made to define and discover an abstract structure from the data on the basis of finitely many observations that are assumed to be in R2 using Euclidean distance as the dissimilarity measure. A consistent estimation and classification estimation procedure is provided for compact regions in R2 using a minimal spanning tree
  • Keywords
    pattern recognition; statistical analysis; trees (mathematics); Euclidean distance; cluster analysis; compact regions; consistent estimation; dissimilarity measure; minimal spanning tree; Classification tree analysis; Clustering algorithms; Clustering methods; Euclidean distance; State estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1990. Proceedings., 10th International Conference on
  • Conference_Location
    Atlantic City, NJ
  • Print_ISBN
    0-8186-2062-5
  • Type

    conf

  • DOI
    10.1109/ICPR.1990.118186
  • Filename
    118186
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3215605