Tensor-based multi-view spectral clustering via shared latent space

Qinghua Tao, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens

Abstract: Highlights•A new method for MvSC is proposed via a novel conjugate feature duality.•With our duality, a common latent space can be imposed for different data sources.•A tensor-based modeling is derived for higher-order couplings and diversified fusion.•Our method gives an efficient representation and a closed-form solution in the dual.•Experiments verify our superiority in accuracy, efficiency, and interpretation.