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Research of Similarity Measurements in the Clustering Analysis

机译:聚类分析中相似性测量研究

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摘要

Similarity measurements play an important role in the clustering analysis, so any good or bad methods of measuring similar degree directly affect the clustering algorithm. In the paper, several approaches to similarity measurements for single attribute type data, which had been proposed, have been discussed. Moreover, a way has been obtained so as to calculate the similar degree of multiple attribute type data. At last a experiment was tested. The result shows that the method is not only feasible but also effective.
机译:相似度测量在聚类分析中发挥着重要作用,因此任何良好或不良的测量方法都会直接影响聚类算法。本文讨论了已经讨论过若干关于已提出的单个属性类型数据的相似性测量方法的方法。此外,已经获得了一种方法,以便计算类似程度的多个属性类型数据。最后测试了实验。结果表明,该方法不仅是可行的,而且还有效。

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