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

Work 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,...

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Detalhes bibliográficos
Autores: Escudero-Arnanz, Óscar, G. Marques, Antonio, Soguero-Ruiz, Cristina, Mora-Jiménez, Inmaculada, Robles, Gregorio
Formato: artículo
Fecha de publicación:2023
País:España
Recursos:Universidad Rey Juan Carlos
Repositorio:BURJC-Digital. Repositorio Institucional de la Universidad Rey Juan Carlos
OAI Identifier:oai:burjcdigital.urjc.es:10115/24752
Acesso em linha:https://hdl.handle.net/10115/24752
Access Level:acceso abierto
Palavra-chave:DTW
Multivariate Time Series
Kernel-based similarity
Parallelization
Python
Descrição
Resumo:Work 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 ).

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