Multiway approach for clustering time series with time varying parameters

Autor: R. Cerqueti, R. Mattera, G. Scepi
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