Projection pursuit cluster model based on genetic algorithm and its application in Karstic water pollution evaluation
by Shunjiu Wang, Xinli Zhang, Zhifeng Yang, Jing Ding, Zhenyao Shen
International Journal of Environment and Pollution (IJEP), Vol. 28, No. 3/4, 2006

Abstract: A projection pursuit cluster model is used to resolve the problem of Karstic water pollution evaluation. First, the projection pursuit cluster model is stated. Then, a genetic algorithm is applied to optimise the projection direction of the projection pursuit cluster model, and the steps of the genetic algorithm are introduced in detail. Finally, a case study of Karstic water pollution evaluation is presented. The projection pursuit cluster model is a powerful tool in analysing complex multifactor problems, and it is also a new method for Karstic water pollution evaluation.

Online publication date: Mon, 06-Nov-2006

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