Model-based co-clustering for functional data

Abstract : 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.
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https://hal.archives-ouvertes.fr/hal-01383920
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Submitted on : Thursday, October 20, 2016 - 1:21:40 PM
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Yosra Ben Slimen, Sylvain Allio, Julien Jacques. Model-based co-clustering for functional data. 24th International Conference on Computational Statistics, Aug 2016, Oviedo, Spain. ⟨hal-01383920⟩

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