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中文摘要：
传统减法聚类的性能依靠山峰函数中参数的选择，只有合适的参数才能使减法聚类产生较好的效果．因此，本文提出一种基于遗传算法的减法聚类方法．首先，提出一种改进的减法聚类算法．其次，利用遗传算法优化改进算法中的参数．最后，采用3个人工数据集和2个真实数据集进行实验，实验结果表明本文方法是一种行之有效的聚类算法．
英文摘要：
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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