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Parameter-less co-clustering for star-structured heterogeneous data
[Departement_IRSTEA]Territoires [TR1_IRSTEA]SYNERGIE -
Learning Probabilistic Relational Models using co-clustering methods
International audience -
Convergence of the groups posterior distribution in latent or stochastic bloc...
We propose a unified framework for studying both latent and stochastic block models, which are used to cluster simultaneously rows and columns of a data matrix. In... -
Model Selection for Gaussian Latent Block Clustering with the Integrated Clas...
International audience -
The Application of Co-clustering in Exploratory Data Analysis
Co-clustering is a clustering technique aiming at simultaneously partitioning the rows and the columns of a data matrix. Among the existing approaches, MODL is... -
Co-clustering of bilingual datasets as a mean for assisting the construction ...
International audience
