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An Information Theory based Approach to Multisource Clustering

Pierre-Alexandre Murena 1, 2 Jérémie Sublime 3, 4 Basarab Matei 5, 4 Antoine Cornuéjols 1 
1 MIA-Paris - Mathématiques et Informatique Appliquées
2 LTCI - Laboratoire Traitement et Communication de l'Information
3 LISITE - Laboratoire d'Informatique, Signal et Image, Electronique et Télécommunication
4 LIPN - Laboratoire d'Informatique de Paris-Nord
5 LAGA - Laboratoire Analyse, Géométrie et Applications
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Conference papers
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https://hal-agroparistech.archives-ouvertes.fr/hal-01913946
Contributor : Antoine Cornuéjols Connect in order to contact the contributor
Submitted on : Tuesday, November 6, 2018 - 4:04:09 PM
Last modification on : Tuesday, October 19, 2021 - 11:14:11 AM

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INSTITUT-TELECOM | UNIV-PARIS13 | AGROPARISTECH | UNIV-PARIS8 | CNRS | INRA | LAGA | LIPN | MIA-PARIS | USPC | UNIV-PARIS-SACLAY | GALILE | UNIV-PARIS-LUMIERES | INRAE | SORBONNE-PARIS-NORD | GS-COMPUTER-SCIENCE | UNIV-PARIS8-OA

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Pierre-Alexandre Murena, Jérémie Sublime, Basarab Matei, Antoine Cornuéjols. An Information Theory based Approach to Multisource Clustering. Twenty-Seventh International Joint Conference on Artificial Intelligence , Jul 2018, Stockholm, Sweden. ⟨10.24963/ijcai.2018/358⟩. ⟨hal-01913946⟩

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