Matrix cofactorization for joint representation learning and supervised classification - Application to hyperspectral image analysis.

•This paper proposes a cofactorization method to perform jointly classification and representation learning.•The novel coupling approach produces a coherent and fully-interpretable hierarchical model.•The proposed model offers a rich interpretation of the data.•Performance is assessed on synthetic and real data in the specific context of hyperspectral image interpretation.