arXiv Machine Learning By Thomas Weighill, Chidinma Williams

Measuring Spatial Clustering via Metropolis-Hastings Diffusion Distance

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arXiv:2607. 14880v1 Announce Type: cross Abstract: We propose a novel measure of the discrepancy between two probability distributions $f$ and $g$ on a graph - which we call the diffusion distance - that measures the rate of convergence of $f$ to $g$ under a graph-constrained Markov chain with stationary distribution $g$.

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