Model-based co-clustering for functional data
Résumé
A model-based coclustering algorithm for functional data is presented. This algorithm relies on the latent block model using a Gaussian model for the functional principal components and a SEM-Gibbs algorithm for inference.
Origine | Fichiers produits par l'(les) auteur(s) |
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