Robust Bayesian clustering

DOI10.1016/j.neunet.2006.06.009zbMath1158.68440DBLPjournals/nn/ArchambeauV07OpenAlexW2074606547WikidataQ51932457 ScholiaQ51932457MaRDI QIDQ866745

Cédric Archambeau, Michel Verleysen

Publication date: 14 February 2007

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2006.06.009

zbMATH Keywords

model selectionclusteringBayesian learningdensity estimationgraphical modelsmixture modelsapproximate inferencevariational inferencerobustness to outliersstudent-\(t\) distribution

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (8)

A coupled ETAS-\(\mathrm{I}^{2}\)GMM point process with applications to seismic fault detection ⋮ A variational Bayesian methodology for hidden Markov models utilizing Student's-\(t\) mixtures ⋮ Robust sequential learning of feedforward neural networks in the presence of heavy-tailed noise ⋮ Inverse regression approach to robust nonlinear high-to-low dimensional mapping ⋮ Component Elimination Strategies to Fit Mixtures of Multiple Scale Distributions ⋮ A new family of multivariate heavy-tailed distributions with variable marginal amounts of tailweight: application to robust clustering ⋮ Link sign prediction by variational Bayesian probabilistic matrix factorization with Student-\(t\) prior ⋮ A new variational Bayesian algorithm with application to human mobility pattern modeling

Uses Software

• bootstrap

Cites Work

• Robust clustering by deterministic agglomeration EM of mixtures of multivariate \(t\)-distributions
• Singularities in mixture models and upper bounds of stochastic complexity.
• Finite mixture models
• A curious likelihood identity for the multivariate t-distribution
• On Estimation of a Probability Density Function and Mode
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