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Time Series Similarity Evaluation Based on Spearman's Correlation Coefficients and Distance Measures

机译:基于Spearman相关系数和距离测度的时间序列相似性评估

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This paper evaluates the similarity between two time series generated by two sensors manufactured by different companies, trying to provide some valuable information upon choosing sensors of different brands. Spearman correlation coefficient analysis and Euclidean distance measurement have been applied. Experiment is carried out on R. Visualization of the studied time series and results of similarity measured over time series by Spearman correlation coefficient and Euclidean distance are presented. Besides, the consistency and inconsistency in the analysis results of two measurements have been discussed in this paper.
机译:本文评估了由不同公司制造的两个传感器生成的两个时间序列之间的相似性,试图在选择不同品牌的传感器时提供一些有价值的信息。 Spearman相关系数分析和欧氏距离测量已被应用。在R上进行了实验。可视化所研究的时间序列,并给出了通过Spearman相关系数和欧几里得距离在整个时间序列上测得的相似性的结果。此外,本文还讨论了两次测量的分析结果的一致性和不一致性。

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