Fuzzy clustering to classify several time series models with fractional Brownian motion errors

In real world problems, scientists aim to classify and cluster several time series processes that can be used for a dataset. In this research, for the first time, based on fuzzy clustering method, an approach is applied to classify and cluster several time series models with fractional Brownian moti...

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Bibliografski detalji

Glavni autori:	Mohammad Reza Mahmoudi, Dumitru Baleanu, Sultan Noman Qasem, Amirhosein Mosavi, Shahab S. Band
Format:	Artigo
Jezik:	Inglês
Izdano:	Elsevier 2021-02-01
Serija:	Alexandria Engineering Journal
Teme:	Classification Fuzzy clustering Fractional Brownian motion Non-stationary Stationary Time series
Online pristup:	http://www.sciencedirect.com/science/article/pii/S1110016820305500
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