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Article (Scientific journals)
The Latent Topic Block Model for the Co-Clustering of Textual Interaction Data
BERGE, Laurent; Bouveyron, Charles; Corneli, Marco et al.
2019 • In Computational Statistics and Data Analysis, 137, p. 247-270
Peer Reviewed verified by ORBi
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https://hdl.handle.net/10993/39017
DOI
10.1016/j.csda.2019.03.005
 

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Disciplines :
Computer science
Mathematics
Author, co-author :
BERGE, Laurent ;  University of Luxembourg > Faculty of Law, Economics and Finance (FDEF) > Center for Research in Economic Analysis (CREA)
Bouveyron, Charles
Corneli, Marco
Latouche, Pierre
External co-authors :
yes
Language :
English
Title :
The Latent Topic Block Model for the Co-Clustering of Textual Interaction Data
Publication date :
September 2019
Journal title :
Computational Statistics and Data Analysis
ISSN :
0167-9473
eISSN :
1872-7352
Publisher :
Elsevier, Netherlands
Volume :
137
Pages :
247-270
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBilu :
since 12 March 2019

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