Abstract The performance of the traditional subtractive method greatly depends on the choice of the parameters of mountain function. And only with proper parameters, the subtractive method can produce good results. Therefore, a subtractive clustering method based on genetic algorithms is proposed. Firstly, the traditional subtractive method is modified, and then the genetic algorithms are employed to optimize the relevant parameters of the improved subtractive method. Finally, experimental results on three synthetic datasets and two real datasets show that the proposed algorithm is valid and has encouraging clustering performance.
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2008, Vol. 21 
