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Mixture of segmentation for heterogeneous functional data
In this paper we consider functional data with heterogeneity in time and in population.
Co-clustering through Optimal Transport
The proposed method uses the entropy regularized optimal transport between empirical measures defined on data instances and features in order to obtain an estimated joint probability density function represented by the optimal coupling matrix.
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