On Bounds for Diffusion, Discrepancy and Fill Distance Metrics - Учебное пособие

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Criteria for optimally discretizing measurable sets in Euclidean space. General notion of extremal equivalent energy. Using the diffusion metric to learn via normalized graph Laplacian dimension reduction and the discepancy is used to discretize.


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