The latent topic block model for the co-clustering of textual interaction data
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Publication:2416785
DOI10.1016/j.csda.2019.03.005OpenAlexW2890327461MaRDI QIDQ2416785
Marco Corneli, Charles Bouveyron, Pierre Latouche, Laurent R. Bergé
Publication date: 24 May 2019
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2019.03.005
Computational methods for problems pertaining to statistics (62-08) Classification and discrimination; cluster analysis (statistical aspects) (62H30)
Related Items (4)
Co-clustering of evolving count matrices with the dynamic latent block model: application to pharmacovigilance ⋮ A survey on model-based co-clustering: high dimension and estimation challenges ⋮ Embedded topics in the stochastic block model ⋮ Greedy clustering of count data through a mixture of multinomial PCA
Uses Software
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