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...

Full description

Bibliographic Details

Published in:	Applied soft computing Vol. 82; p. 105539
Main Authors:	Hashemi, Farzane, Naderi, Mehrdad, Mashinchi, Mashallah
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.09.2019
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!