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

机译:基于Spearman的相关系数和距离测量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产生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。已经应用了Spearman相关系数分析和欧几里德距离测量。实验在R.呈现了所研究的时间序列的可视化和通过Spearman相关系数和欧几里德距离测量的相似性结果。此外,本文讨论了两次测量的分析结果中的一致性和不一致。

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