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A data-driven selection of the number of clusters in the Dirichlet allocation model via Bayesian mixture modelling - MaRDI portal

A data-driven selection of the number of clusters in the Dirichlet allocation model via Bayesian mixture modelling (Q5107497)

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scientific article; zbMATH DE number 7193871
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A data-driven selection of the number of clusters in the Dirichlet allocation model via Bayesian mixture modelling
scientific article; zbMATH DE number 7193871

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    A data-driven selection of the number of clusters in the Dirichlet allocation model via Bayesian mixture modelling (English)
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    27 April 2020
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    mixture model
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    Bayesian approach
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    Gibbs sampling
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    Metropolis-Hastings
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    split-merge update
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    Kullback-Leibler divergence
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