What is the role of diffusion maps in capturing long-range relationships?

Updated May 16, 2026

Short answer

Diffusion maps capture relationships based on multi-step connectivity rather than direct distances.

Deep explanation

Diffusion maps use random walk probabilities on a graph to measure connectivity between points over multiple steps. This allows them to capture long-range manifold structure that local methods may miss. It effectively smooths noise while preserving intrinsic geometry.

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