arXiv Machine Learning June 9, 2026 By Rok Hribar, Gregor Papa, Janez Povh, Andrej Kastrin

On solving symmetric multi-type orthogonal non-negative matrix tri-factorization problem

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arXiv:2606. 08291v1 Announce Type: new Abstract: We study the symmetric multi-type orthogonal non-negative matrix tri-factorization problem, where several symmetric non-negative matrices are simultaneously approximated by factors of the form $GS_{i}G^{\top}$, with a shared non-negative and orthogonal factor $G$.

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