Convergence of multidimensional scaling embeddings under Gromov–Wasserstein convergence
Convergence of multidimensional scaling embeddings under Gromov–Wasserstein convergence
Let for be a sequence of metric measure spaces that converges to in the Gromov–Wasserstein distance. The associated multidimensional scaling (MDS) embeddings map these spaces into a common Euclidean space according to their metric-measure structure. MDS convergence conjecture. The MDS embeddings converge. This conjecture proposes stability of multidimensional scaling under Gromov–Wasserstein convergence of metric measure spaces; the supplied source does not specify the mode of convergence or provide evidence resolving the claim.
Sources & referencesView supporting material
Primary source
Henry Adams, Mark Blumstein and Lara Kassab, “Multidimensional Scaling on Metric Measure Spaces”, arXiv:1907.01379 (2019).
Additional references
2 papers in this index state this conjecture (2019). The statement above is taken from the most recent of them; the others are arXiv:1904.07763.
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