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#120 - Iolo Jones: Riemannian Diffusion Geometry, Geometric Data Analysis, Markov Chains

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Exploring Diffusion and Persistence Homology

This chapter investigates the interplay between persistence homology and diffusion methods within geometric data analysis. It emphasizes how diffusion aids in understanding geometric shapes and heat flow, offering robustness against noise and outliers. The discussion includes insights into computational efficiency and the ongoing research aimed at refining these approaches for large datasets.

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