A hierarchical modeling approach for clustering probability density functions

DOI10.1016/j.csda.2013.04.013zbMath1471.62034OpenAlexW2029243810MaRDI QIDQ1621283

Daniela G. Calò, Angela Montanari, Cinzia Viroli

Publication date: 8 November 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2013.04.013

zbMATH Keywords

maximum likelihoodmixture modelingpdf clustering

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

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Editorial: The 2nd special issue on advances in mixture models, Model-based clustering and classification with non-normal mixture distributions

Uses Software

• Latent GOLD

Cites Work

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