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

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 effe...

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Bibliographic Details
Published in2007 International Conference on Wavelet Analysis and Pattern Recognition Vol. 2; pp. 907 - 911
Main Authors Li Liu, Jian-Zhong Zhou, Xue-Li An, Li Yang, Shuang-Quan Liu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2007
Subjects
Clustering methods
Data analysis
Educational institutions
Grey Clustering
Information analysis
Pattern analysis
Pattern recognition
Quality assessment
Standardization
Wavelet analysis
Weight
Whitening Function
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Summary: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.
ISBN:9781424410651
1424410657
ISSN:2158-5695
DOI:10.1109/ICWAPR.2007.4420798