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dtwParallel: A Python package to efficiently compute dynamic time warping between time series

dc.contributor.authorEscudero-Arnanz, Óscar
dc.contributor.authorG. Marques, Antonio
dc.contributor.authorSoguero-Ruiz, Cristina
dc.contributor.authorMora-Jiménez, Inmaculada
dc.contributor.authorRobles, Gregorio
dc.date.accessioned2023-10-09T06:53:08Z
dc.date.available2023-10-09T06:53:08Z
dc.date.issued2023
dc.identifier.citationÓscar Escudero-Arnanz, Antonio G. Marques, Cristina Soguero-Ruiz, Inmaculada Mora-Jiménez, Gregorio Robles, dtwParallel: A Python package to efficiently compute dynamic time warping between time series, SoftwareX, Volume 22, 2023, 101364, ISSN 2352-7110, https://doi.org/10.1016/j.softx.2023.101364es
dc.identifier.issn2352-7110
dc.identifier.urihttps://hdl.handle.net/10115/24752
dc.descriptionWork supported by the Spanish NSF (grants , PID2019-106623RB-C41/AEI/10.13039/501100011033 PID2019-105032GB-I00AEI/10.13039/501100011033, and PID2019-107768RA-I00/AEI/10.13039/501100011033), and the Community of Madrid, Spain (grants PEJ-2020-AI/TIC-18964, URJC-F661, and e-Madrid-CM-P2018/TCS-4307, co-financed by EU Structural Funds FSE and FEDER, Spain ).es
dc.description.abstractdtwParallel is a Python package that computes the Dynamic Time Warping (DTW) distance between a collection of (multivariate) time series (MTS). dtwParallel incorporates the main functionalities available in current DTW libraries and novel functionalities such as parallelization, computation of similarity (kernel-based) values, and consideration of data with different types of features (categorical, real-valued, . . . ). A low-floor, high-ceiling, and wide-walls software design principle has been adopted, envisioning uses in education, research, and industry. The source code and documentation of the package are available at https://github.com/oscarescuderoarnanz/dtwParallel.es
dc.language.isoenges
dc.publisherElsevieres
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectDTWes
dc.subjectMultivariate Time Serieses
dc.subjectKernel-based similarityes
dc.subjectParallelizationes
dc.subjectPythones
dc.titledtwParallel: A Python package to efficiently compute dynamic time warping between time serieses
dc.typeinfo:eu-repo/semantics/articlees
dc.identifier.doi10.1016/j.softx.2023.101364es
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses


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Attribution-NonCommercial-NoDerivatives 4.0 InternacionalExcept where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internacional