Maximum likelihood estimation of Gaussian mixture models using stochastic search

DOI10.1016/j.patcog.2011.12.023zbMath1236.68214OpenAlexW2100688788MaRDI QIDQ411952

Çağlar Arı, Orhan Arıkan, Selim Aksoy

Publication date: 2 May 2012

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/11693/21405

zbMATH Keywords

maximum likelihood estimationidentifiabilitystochastic searchGaussian mixture modelsparticle swarm optimizationexpectation maximizationcovariance parametrization

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (3)

Multiscale Gaussian convolution algorithm for estimate of Gaussian mixture model ⋮ Short-Time Linear Quadratic Form Technique for Estimating Fast-Varying Parameters in Feedback Loops ⋮ Large-sample properties of unsupervised estimation of the linear discriminant using projection pursuit

Uses Software

• UCI-ml
• k-means++

Cites Work

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• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
• Modified differential evolution based fuzzy clustering for pixel classification in remote sensing imagery
• Parsimonious reduction of Gaussian mixture models with a variational-Bayes approach
• Mixture Densities, Maximum Likelihood and the EM Algorithm
• The EM Algorithm and Extensions, 2E
• Theoretical Improvements in Algorithmic Efficiency for Network Flow Problems
• Dealing With Label Switching in Mixture Models
• Computational and Inferential Difficulties with Mixture Posterior Distributions

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