no code implementations • 22 Dec 2022 • Aichetou Bouchareb, Marc Boullé, Fabrice Clérot, Fabrice Rossi
Co-clustering is a class of unsupervised data analysis techniques that extract the existing underlying dependency structure between the instances and variables of a data table as homogeneous blocks.
no code implementations • 22 Dec 2022 • Aichetou Bouchareb, Marc Boullé, Fabrice Clérot, Fabrice Rossi
Co-clustering is a data mining technique used to extract the underlying block structure between the rows and columns of a data matrix.
no code implementations • 6 Feb 2019 • Aichetou Bouchareb, Marc Boullé, Fabrice Rossi, Fabrice Clérot
The proposed model infers an optimal segmentation of all variables then performs a co-clustering by minimizing a Bayesian model selection cost function.