• DocumentCode
    2516965
  • Title

    Study of clustering method by the close distance based on multi-factor

  • Author

    Bao-zheng, Liu ; Ding-wei, Wang

  • Author_Institution
    Sch. of Math. Sci., Liaocheng Univ., Liaocheng, China
  • fYear
    2011
  • fDate
    23-25 May 2011
  • Firstpage
    1836
  • Lastpage
    1839
  • Abstract
    Thinking of the close distance being minimization, the Investigation objects based on many factors are clustered. With the problem of weather station mergering as a case, we apply and analyse the clustering method. The example shows that the clustering method is feasible and efficient.
  • Keywords
    pattern clustering; close distance; clustering method; investigation objects; multifactor; weather station merger; Clustering methods; Corporate acquisitions; Educational institutions; Electronic mail; Information science; Mathematics; Meteorology; Multi-factor; close distance; clustering; weather station merger;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2011 Chinese
  • Conference_Location
    Mianyang
  • Print_ISBN
    978-1-4244-8737-0
  • Type

    conf

  • DOI
    10.1109/CCDC.2011.5968498
  • Filename
    5968498
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2516965