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.
Multiway approach for clustering time series with time varying parameters / Cerqueti, R.; Mattera, R.; Scepi, G.. - (2022), pp. 371-376. (Intervento presentato al convegno IES 2022 Innovation & Society 5.0: Statistical and Economic Methodologies for Quality Assessment tenutosi a Università Luigi Vanvitelli-Caserta nel Febbraio 2022).
Multiway approach for clustering time series with time varying parameters
R. Mattera;G. Scepi
2022
Abstract
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.File in questo prodotto:
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