Mixtures of Shifted AsymmetricLaplace Distributions

A mixture of shifted asymmetric Laplace distributions is introduced and used for clustering and classification. A variant of the EM algorithm is developed for parameter estimation by exploiting the relationship with the generalized inverse Gaussian distribution. This approach is mathematically elega...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence 2014-06, Vol.36 (6), p.1149-1157
Hauptverfasser:	Franczak, Brian C., Browne, Ryan P., McNicholas, Paul D.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithm design and analysis Annealing Classification Clustering Convergence Gaussian Gaussian distribution Generalized inverse Indexes Intelligence Mathematical model multivariate statistics Pattern analysis Random variables Skewed distributions Statistical computing
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