Testing for revealing of data structure based on the hybrid approach

V. Mosorov, T. Panskyi, S. Biedroń
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引用次数: 3

Abstract

In this paper testing for revealing data structure based on a hybrid approach has been presented. The hybrid approach used during the testing suggests defining a pre-clustering hypothesis, defining a pre-clustering statistic and assuming the homogeneity of the data under pre-defined hypothesis, applying the same clustering procedure for a data set of interest, and comparing results obtained under the pre-clustering statistic with the results from the data set of interest. The pros and cons of the hybrid approach have been also considered.
基于混合方法的数据结构揭示测试
本文提出了一种基于混合方法的揭示数据结构的测试方法。在测试中使用的混合方法是定义一个预聚类假设,定义一个预聚类统计量并假设在预定义假设下的数据的同质性,对感兴趣的数据集应用相同的聚类过程,并将在预聚类统计量下得到的结果与感兴趣的数据集的结果进行比较。还考虑了混合方法的优点和缺点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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