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Co-clustering based exploratory analysis of mixed-type data tables
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.
Model Based Co-clustering of Mixed Numerical and Binary Data
Co-clustering is a data mining technique used to extract the underlying block structure between the rows and columns of a data matrix.
Un modèle Bayésien de co-clustering de données mixtes
The proposed model infers an optimal segmentation of all variables then performs a co-clustering by minimizing a Bayesian model selection cost function.
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