Orthogonalization of data via Gromov-Wasserstein type feedback for clustering and visualization. - Martin Ryner; Johan Karlsson (CoRR, 2022)

Globally solving the Gromov-Wasserstein problem for point clouds in low dimensional Euclidean spaces. - Martin Ryner; Jan Kronqvist; Johan Karlsson (NeurIPS, 2023)

A cutting plane algorithm for globally solving low dimensional k-means clustering problems. - Martin Ryner; Jan Kronqvist; Johan Karlsson (CoRR, 2024)