So data normalization methods described above should be carefully used in distance cluster analysis for exploratory data.
因此，在对开发性数据进行距离聚类分折时，上述数据标准化方法应该谨慎使用。
Three major principles for the selection of indicator data normalization methods in multi-attribute evaluation are presented in this paper.
提出学术期刊综合评价中指标数据标准化方法选择的三大原则，即同一指标内部数据相对差距不变原则；
In the methods of normalization consideration must be given to logic analysis, mathematical statistics and data digging.
规范方法应兼顾逻辑分析、数理统计和数据挖掘等。
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