• DocumentCode
    3432539
  • Title

    Application research of fuzzy clustering approach in new rural cooperative medical insurance system module

  • Author

    Tang Zhong ; Yang Gefeng ; Ou Xu ; Liang Zhisheng

  • Author_Institution
    Inf. Center, Guangxi Med. Univ., Nanning, China
  • fYear
    2011
  • fDate
    3-5 Aug. 2011
  • Firstpage
    361
  • Lastpage
    364
  • Abstract
    Based on the analysis the advantages and disadvantages of hierarchical clustering and fuzzy clustering methods, make sample points within each subspace as similar as possible, differences between sample points within different sub-space as large as possible, The essence is to find different data models which hidden in different data. It is an unsupervised learning process that enables the blind classification in the sample spaces. Currently clustering data mining research is a very active field.t.
  • Keywords
    cooperative systems; data mining; data models; fuzzy set theory; insurance data processing; medical information systems; pattern classification; pattern clustering; unsupervised learning; blind classification; data mining; data models; fuzzy clustering approach; medical insurance system; rural cooperative system; unsupervised learning process; Algorithm design and analysis; Biomedical imaging; Business; Clustering algorithms; Clustering methods; Insurance; Shape; fuzzy clustering; medical insurance; module; new rural cooperative;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education (ICCSE), 2011 6th International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-9717-1
  • Type

    conf

  • DOI
    10.1109/ICCSE.2011.6028655
  • Filename
    6028655