Multiway approach for clustering time series with time varying parameters
Autor: | R. Cerqueti, R. Mattera, G. Scepi |
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Přispěvatelé: | Rosaria Lombardo, Ida Camminatiello and Violetta Simonacci, Cerqueti, R., Mattera, R., Scepi, G. |
Jazyk: | angličtina |
Rok vydání: | 2022 |
Předmět: | |
Popis: | In this paper, we propose a new approach for clustering time series with time varying parameters. Because of the time array nature of the dataset, we adopt a multiway approach. For showing the validity of the clustering algorithm a simula- tion study is produced. |
Databáze: | OpenAIRE |
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