Clustering right-skewed data stream via Birnbaum–Saunders mixture models: A flexible approach based on fuzzy clustering algorithm

Despite the widespread use of Gaussian mixture model for clustering datasets, practical applications show that the skewed and leptokurtic mixture models can be considered as promising alternatives. This paper proposes a finite mixture of Birnbaum–Saunders (FM-BS) distributions for analyzing and clus...

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Vydané v:	Applied soft computing Ročník 82; s. 105539
Hlavní autori:	Hashemi, Farzane, Naderi, Mehrdad, Mashinchi, Mashallah
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.09.2019
Predmet:	Classification maximum likelihood EM-type algorithm Finite mixture of Birnbaum–Saunders distributions Fuzzy clustering Fuzzy clustering Classification maximum likelihood Finite mixture of Birnbaum–Saunders distributions EM-type algorithm
ISSN:	1568-4946, 1872-9681
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