Nonparametric Hierarchical Bayesian Models for Positive Data Clustering Based on Inverted Dirichlet-Based Distributions

In this paper, we propose nonparametric hierarchical Bayesian models based on two inverted Dirichlet-based distributions and Pitman-Yor process for positive data features clustering. The choice of the inverted Dirichlet and the generalized inverted Dirichlet distributions is motivated by their flexi...

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Detalhes bibliográficos

Principais autores:	Wentao Fan, Nizar Bouguila
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2019-01-01
coleção:	IEEE Access
Assuntos:	Clustering mixture models inverted Dirichlet nonparametric Bayesian model stochastic variational inference
Acesso em linha:	https://ieeexplore.ieee.org/document/8744523/
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