SimilarityTS: Toolkit for the evaluation of similarity for multivariate time series
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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-12-01
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| Series: | SoftwareX |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352711023002236 |
| _version_ | 1827582819825614848 |
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| author | Alejandro Fernández-Montes Damián Fernández-Cerero Felipe Escalera-González Agnieszka Jakóbik Belén Bermejo Carlos Juiz |
| author_facet | Alejandro Fernández-Montes Damián Fernández-Cerero Felipe Escalera-González Agnieszka Jakóbik Belén Bermejo Carlos Juiz |
| author_sort | Alejandro Fernández-Montes |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-08T22:57:07Z |
| format | Article |
| id | doaj.art-fdd5a0dd792d41d6b7a038434a817b3d |
| institution | Directory Open Access Journal |
| issn | 2352-7110 |
| language | English |
| last_indexed | 2024-03-08T22:57:07Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | SoftwareX |
| spelling | doaj.art-fdd5a0dd792d41d6b7a038434a817b3d2023-12-16T06:08:03ZengElsevierSoftwareX2352-71102023-12-0124101527SimilarityTS: Toolkit for the evaluation of similarity for multivariate time seriesAlejandro Fernández-Montes0Damián Fernández-Cerero1Felipe Escalera-González2Agnieszka Jakóbik3Belén Bermejo4Carlos Juiz5Department of Computer Languages and Systems, University of Sevilla, 41012 Sevilla, Spain; Corresponding author.Department of Computer Languages and Systems, University of Sevilla, 41012 Sevilla, SpainDepartment of Computer Languages and Systems, University of Sevilla, 41012 Sevilla, SpainCracow University of Technology, Warszawska st 24, 31-155 Cracow, PolandDepartment of Computer Science, University of the Balearic Islands, 07122 Palma, SpainDepartment of Computer Science, University of the Balearic Islands, 07122 Palma, SpainThis 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.http://www.sciencedirect.com/science/article/pii/S2352711023002236Time seriesSimilarityMultivariateToolkitPython |
| spellingShingle | Alejandro Fernández-Montes Damián Fernández-Cerero Felipe Escalera-González Agnieszka Jakóbik Belén Bermejo Carlos Juiz SimilarityTS: Toolkit for the evaluation of similarity for multivariate time series SoftwareX Time series Similarity Multivariate Toolkit Python |
| title | SimilarityTS: Toolkit for the evaluation of similarity for multivariate time series |
| title_full | SimilarityTS: Toolkit for the evaluation of similarity for multivariate time series |
| title_fullStr | SimilarityTS: Toolkit for the evaluation of similarity for multivariate time series |
| title_full_unstemmed | SimilarityTS: Toolkit for the evaluation of similarity for multivariate time series |
| title_short | SimilarityTS: Toolkit for the evaluation of similarity for multivariate time series |
| title_sort | similarityts toolkit for the evaluation of similarity for multivariate time series |
| topic | Time series Similarity Multivariate Toolkit Python |
| url | http://www.sciencedirect.com/science/article/pii/S2352711023002236 |
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