Manifold Learning with Sparse Regularised Optimal Transport

no code implementations • 19 Jul 2023 • Stephen Zhang, Gilles Mordant, Tetsuya Matsumoto, Geoffrey Schiebinger

Manifold learning is a central task in modern statistics and data science.

Beyond kNN: Adaptive, Sparse Neighborhood Graphs via Optimal Transport

no code implementations • 1 Aug 2022 • Tetsuya Matsumoto, Stephen Zhang, Geoffrey Schiebinger

One of the most common strategies to construct such a graph is based on selecting a fixed number k of nearest neighbours (kNN) for each point.