Nonlinear dimensionality reduction through optimal transport between incomparable spaces
Abstract We study a dimensionality reduction method grounded in optimal transport theory, leveraging the Gromov–Wasserstein (GW) distance to align the relational geometry of data across incomparable spaces. Building on recent advances that connect GW and semi-…