The Latent Topic Block Model for the Co-Clustering of Textual Interaction Data

Reference : The Latent Topic Block Model for the Co-Clustering of Textual Interaction Data


	Document type :	Scientific journals : Article
	Discipline(s) :	Physical, chemical, mathematical & earth Sciences : Mathematics Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/39017

Title :	The Latent Topic Block Model for the Co-Clustering of Textual Interaction Data
Language :	English
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 []
Publication date :	Sep-2019
Journal title :	Computational Statistics and Data Analysis
Publisher :	Elsevier
Volume :	137
Pages :	247-270
Peer reviewed :	Yes (verified by ORBi^lu)
ISSN :	0167-9473
e-ISSN :	1872-7352
Country :	Netherlands
Permalink :	http://hdl.handle.net/10993/39017

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Open access	LTBM paper -- WP version.pdf		Author preprint	1.3 MB	View/Open

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