论文笔记：Multiview Subspace Clustering via Tensorial t-Product Representation

High-order statistics that can only be captured by simultaneously utilizing all views are often overlooked. This paper proposed a novel multiview clustering method by using t-product in the third-order tensor space.

• Presenting an innovative construction method by organizing the multiview data set into the third-order tensorial data. As such, multiple views can be simultaneously exploited, rather than only set of pairwise information.

• It is the first attempt to propose a low-rank multiview clustering in the third-order tensor space via t-linear combination ( the t-product).

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