SimilarityTS: Toolkit for the evaluation of similarity for multivariate time series

被引：1

作者：

Fernandez-Montes, Alejandro ^{[1
]}

Fernandez-Cerero, Damian ^{[1
]}

Escalera-Gonzalez, Felipe ^{[1
]}

Jakobik, Agnieszka ^{[3
]}

Bermejo, Belen ^{[2
]}

Juiz, Carlos ^{[2
]}

机构：

[1] Univ Seville, Dept Comp Languages & Syst, Seville 41012, Spain

[2] Univ Balearic Isl, Dept Comp Sci, Palma De Mallorca 07122, Spain

[3] Cracow Univ Technol, Warszawska st 24, PL-31155 Krakow, Poland

来源：

SOFTWAREX | 2023年 / 24卷

关键词：

Time series; Similarity; Multivariate; Toolkit; !text type='Python']Python[!/text; NETWORKS;

D O I：

10.1016/j.softx.2023.101527

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

This paper presents SimilarityTS, a toolkit for the evaluation of similarity for multivariate time series. This software enables the comparison and assessment of the similarity between time series in a standard way, using the most relevant metrics and figures usually employed in the literature, such as the Kullback-Leibler divergence, Dynamic Time Warping, DTW paths, PCA, and t-SNE representations, among others. This toolkit provides a better way to compare research results and facilitates the repeatability of experiments.

引用

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