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

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Intro

This chapter delves into the relationship between data and geometric concepts, particularly the limitations of manifold representation in data analysis. It discusses the significance of diffusion methods that bypass manifold assumptions, highlighting challenges in measuring data shape and innovative solutions in the field.

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