• DocumentCode
    469010
  • Title

    Improvement of the grey clustering method and its application in water quality assessment

  • Author

    Liu, Li ; Zhou, Jian-zhong ; An, Xue-Li ; Yang, Li ; Liu, Shuang-Quan

  • Author_Institution
    Huazhong Univ. of Sci. & Technol., Wuhan
  • Volume
    2
  • fYear
    2007
  • fDate
    2-4 Nov. 2007
  • Firstpage
    907
  • Lastpage
    911
  • Abstract
    Based on the principle of grey clustering analysis, an improved grey clustering method is given by adopting exponential whitening coefficient function and improving the method of establishing whitening function and the weights. With the improved method, the zero weight problem is addressed, the effects of exceeding standard factors are properly considered and the limitation, with which the classical method may lead some characteristic indicators have unreasonable weights as the clustering indicators have different means and dimensions, is effectively overcome, especially when they are quite different from each other quantitatively. Finally, an illustrative example is given to clarify the method, which shows that the improved method is reasonable, feasible, simple and practical.
  • Keywords
    environmental science computing; pattern clustering; grey clustering method; water quality assessment; whitening coefficient function; zero weight problem; Clustering methods; Data analysis; Educational institutions; Information analysis; Notice of Violation; Pattern analysis; Pattern recognition; Quality assessment; Standardization; Wavelet analysis; Grey Clustering; Weight; Whitening Function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-1065-1
  • Electronic_ISBN
    978-1-4244-1066-8
  • Type

    conf

  • DOI
    10.1109/ICWAPR.2007.4420798
  • Filename
    4420798