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。
And these methods are computationally expensive as they employ pre-process procedures including chip data normalization and other sophisticated statistical techniques.
而且这些方法由于使用了过多的预处理程序如数据归一化等其他复杂的统计方法，使得计算量非常大。
Then, the processes of computing the vector values of POI objects are discussed by the methods of questionnaire survey, multi-density spatial clustering and data normalization respectively.
然后，分别讨论了利用问卷调查、多密度空间聚类和数据规格化的方法计算POI对象的各项显著性指标值的过程；
Then, the processes of computing the vector values of POI objects are discussed by the methods of questionnaire survey, multi-density spatial clustering and data normalization respectively.
然后，分别讨论了利用问卷调查、多密度空间聚类和数据规格化的方法计算POI对象的各项显著性指标值的过程；
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