Jacques-Henri Sublemontier - researchr alias

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Viewing Publication 1 - 7 from 7

2022

Federated learning with incremental clustering for heterogeneous dataFabiola Espinoza Castellon, Aurélien Mayoue, Jacques-Henri Sublemontier, Cédric Gouy-Pailler. ijcnn 2022: 1-8 [doi]

2013

Unsupervised collaborative boosting of clustering: An unifying framework for multi-view clustering, multiple consensus clusterings and alternative clusteringJacques-Henri Sublemontier. ijcnn 2013: 1-8 [doi]

2012

Classification non supervisée : de la multiplicité des données à la multiplicité des analyses. (Clustering : from multiple data to multiple analysis)Jacques-Henri Sublemontier. PhD thesis, University of Orléans, France, 2012. [doi]

2011

Clustering multi-vues : une approche centraliséeJacques-Henri Sublemontier, Guillaume Cleuziou, Matthieu Exbrayat, Lionel Martin. In Guillaume Cleuziou, Mustapha Lebbah, Arnaud Martin, Boutheina Ben Yaghlane, editors, Fouille de données complexes. Complexité liée aux données multiples. Volume E-21 of RNTI, pages 101-122, Hermann-Éditions, 2011. [doi]

Integrating Pairwise Constraints into Clustering Algorithms: Optimization-Based ApproachesJacques-Henri Sublemontier, Lionel Martin, Guillaume Cleuziou, Matthieu Exbrayat. icdm 2011: 272-279 [doi]

2009

CoFKM: A Centralized Method for Multiple-View ClusteringGuillaume Cleuziou, Matthieu Exbrayat, Lionel Martin, Jacques-Henri Sublemontier. icdm 2009: 752-757 [doi]

2008

Étude comparative de deux approches de classification recouvrante : Moc vs. OkmGuillaume Cleuziou, Jacques-Henri Sublemontier. f-egc 2008: 667-678

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