Fast approximation of variational Bayes Dirichlet process mixture using the maximization-maximization algorithm

DOI10.1016/J.IJAR.2017.11.001zbMath1458.62129OpenAlexW2767734436MaRDI QIDQ1726386

Han Wang, Kart-Leong Lim

Publication date: 20 February 2019

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2017.11.001

zbMATH Keywords

Gaussian mixture modelvariational BayesDirichlet process mixturefast Bayesian nonparametricsvariational maximization-maximization algorithm

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Nonparametric estimation (62G05)

Uses Software

• AMIDST
• PRMLT

Cites Work

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• Bayesian k-Means as a “Maximization-Expectation” Algorithm
• Clustering in linear mixed models with approximate Dirichlet process mixtures using EM algorithm
• Modal clustering in a class of product partition models
• Variational inference for Dirichlet process mixtures

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