Clustering, classification, discriminant analysis, and dimension reduction via generalized hyperbolic mixtures
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Publication:1659365
DOI10.1016/J.CSDA.2015.10.008zbMath1468.62144arXiv1308.6315OpenAlexW1927455312MaRDI QIDQ1659365
Katherine Morris, Paul D. McNicholas
Publication date: 15 August 2018
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1308.6315
dimension reductionmodel-based clusteringmixture modelsmodel-based classificationgeneralized hyperbolic distributionmodel-based discriminant analysis
Computational methods for problems pertaining to statistics (62-08) Classification and discrimination; cluster analysis (statistical aspects) (62H30)
Related Items (5)
Model-based clustering ⋮ Practical Initialization of Recursive Mixture-Based Clustering for Non-negative Data ⋮ Hidden truncation hyperbolic distributions, finite mixtures thereof, and their application for clustering ⋮ A variational approximations-DIC rubric for parameter estimation and mixture model selection within a family setting ⋮ Mixtures of generalized hyperbolic distributions and mixtures of skew-\(t\) distributions for model-based clustering with incomplete data
Uses Software
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