Finite Inverted Beta-Liouville Mixture Models with Variational Component Splitting

DOI10.1007/978-3-030-23876-6_10zbMath1434.62126OpenAlexW2966995960MaRDI QIDQ5110032

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Publication date: 15 May 2020

Published in: Unsupervised and Semi-Supervised Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-030-23876-6_10

zbMATH Keywords

model selectionmixture modelcomponent splittingimage clusteringvariational learningpositive vectorsinverted beta-Liouville mixture modelssoftware defect detectionspeech clustering

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Image analysis in multivariate analysis (62H35) Statistical aspects of big data and data science (62R07)

Uses Software

• SIFT
• SURF

Cites Work

• Unnamed Item
• On the computational complexity of MCMC-based estimators in large samples
• Model-Based Gaussian and Non-Gaussian Clustering
• Comparison of different implementations of MFCC

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