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
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;
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
DOI :
10.1109/ICWAPR.2007.4420798