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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Hauptverfasser: Mohammad Reza Mahmoudi, Dumitru Baleanu, Sultan Noman Qasem, Amirhosein Mosavi, Shahab S. Band
Format: Artigo
Sprache:Inglês
Veröffentlicht: Elsevier 2021-02-01
Schriftenreihe:Alexandria Engineering Journal
Schlagworte:
Classification
Fuzzy clustering
Fractional Brownian motion
Non-stationary
Stationary
Time series
Online Zugang:http://www.sciencedirect.com/science/article/pii/S1110016820305500
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