Model-Based Clustering and Classification Using Mixtures of Multivariate Skewed Power Exponential Distributions

Families of mixtures of multivariate power exponential (MPE) distributions have already been introduced and shown to be competitive for cluster analysis in comparison to other mixtures of elliptical distributions, including mixtures of Gaussian distributions. A family of mixtures of multivariate ske...

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Vydané v:	Journal of classification Ročník 40; číslo 1; s. 145 - 167
Hlavní autori:	Dang, Utkarsh J., Gallaugher, Michael P.B., Browne, Ryan P., McNicholas, Paul D.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.04.2023 Springer Nature B.V
Predmet:	Algorithms Bioinformatics Classification Cluster analysis Clustering Decomposition Eigenvalues Expected values Families & family life Kurtosis Manifolds (mathematics) Marketing Mathematics and Statistics Maximization Mixtures Multivariate analysis Normal distribution Normality Optimization Parameter estimation Pattern Recognition Power Psychometrics Random variables Search algorithms Signal,Image and Speech Processing Skewness Statistical Theory and Methods Statistics Model-based classification Multivariate skewed power exponential distribution Mixture models Model-based clustering Generalized expectation-maximization algorithm
ISSN:	0176-4268, 1432-1343
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