An R Package and C++ library for Latent block models: Theory, usage and applications

Parmeet Bathia; Serge Iovleff; Gérard Govaert

Journal Articles Journal of Statistical Software Year : 2017

An R Package and C++ library for Latent block models: Theory, usage and applications

(1) , (1) , (2)

1
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Parmeet Bathia

Function : Author

MOdel for Data Analysis and Learning

Serge Iovleff

Function : Author

MOdel for Data Analysis and Learning

Gérard Govaert

Function : Author
PersonId : 7762
IdHAL : gerard-govaert
IdRef : 059389710

Heuristique et Diagnostic des Systèmes Complexes [Compiègne]

CV

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Statistics [math.ST]

Gérard Govaert : Connect in order to contact the contributor

https://hal.science/hal-01285610

Submitted on : Wednesday, March 9, 2016-3:01:57 PM

Last modification on : Saturday, April 27, 2024-3:14:14 AM

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hal-01285610 , version 1 (09-03-2016)

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HAL Id : hal-01285610 , version 1

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Parmeet Bathia, Serge Iovleff, Gérard Govaert. An R Package and C++ library for Latent block models: Theory, usage and applications. Journal of Statistical Software, 2017, 76 (9), pp.1-24. ⟨hal-01285610⟩

An R Package and C++ library for Latent block models: Theory, usage and applications

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