Flexible clustering of high-dimensional data via mixtures of joint generalized hyperbolic distributions

DOI10.1002/sta4.177MaRDI QIDQ6541448

Ryan P. Browne, Yang Tang, Paul D. McNicholas

Publication date: 19 May 2024

Published in: Stat (Search for Journal in Brave)

zbMATH Keywords

clusteringhigh-dimensional datadiscrimination

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Unnamed Item
• Unnamed Item
• Estimating common principal components in high dimensions
• A new family of multivariate heavy-tailed distributions with variable marginal amounts of tailweight: application to robust clustering
• A mixture of generalized hyperbolic factor analyzers
• Extending mixtures of factor models using the restricted multivariate skew-normal distribution
• High-dimensional data clustering
• Estimating the dimension of a model
• Model-based clustering of high-dimensional data: a review
• Mixtures of skew-\(t\) factor analyzers
• Clustering, classification, discriminant analysis, and dimension reduction via generalized hyperbolic mixtures
• Location and scale mixtures of Gaussians with flexible tail behaviour: properties, inference and application to multivariate clustering
• Setting up alternating least squares and iterative majorization algorithms for solving various matrix optimization problems
• Model-based clustering
• Dimension reduction for model-based clustering via mixtures of shifted asymmetric Laplace distributions
• Maximum likelihood estimation via the ECM algorithm: A general framework
• Probabilistic Principal Component Analysis
• Model-Based Gaussian and Non-Gaussian Clustering
• A mixture of generalized hyperbolic distributions
• On the Identifiability of Finite Mixtures
• A mixture of common skew-\(t\) factor analysers

Related Items (1)

Clustering and semi-supervised classification for clickstream data via mixture models

This page was built for publication: Flexible clustering of high-dimensional data via mixtures of joint generalized hyperbolic distributions