This paper discusses the effect of these key parameters on the algorithm by experimental results, and then suggests how to select these parameters properly.

本文通过实验探讨几个关键参数对算法性能的影响，从而说明算法中参数的选择方式。

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The scale of original data is very large. It is difficult to realize the clustering algorithm. Clustering analysis often takes the key attributes as classification parameters.

由于原始海量数据规模较大，聚类算法难以实现，而且聚类分析有时候只考虑关键属性作为分类参数。

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The key kinetic parameters of the new model were adjusted by using a genetic algorithm optimization methodology to improve ignition timings prediction.

另外，采用遗传优化技术对模型动力学参数进行调整。

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