Expectation–Maximization algorithm for finite mixture of α-stable distributions

A Gaussian Mixture Model (GMM) is a parametric probability density function built as a weighted sum of Gaussian distributions. Gaussian mixtures are used for modelling the probability distribution in many fields of research nowadays. Nevertheless, in many real applications, the components are skewed...

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Bibliographic Details
Published in:Neurocomputing (Amsterdam) Vol. 413; pp. 210 - 216
Main Authors: Castillo-Barnes, D., Martinez-Murcia, F.J., Ramírez, J., Górriz, J.M., Salas-Gonzalez, D.
Format: Journal Article
Language:English
Published: Elsevier B.V 06.11.2020
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ISSN:0925-2312, 1872-8286
Online Access:Get full text
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