Probabilistic embedding of discrete sets as continuous metric spaces
Any symmetric affinity function w : V x V -> R+ defined on a discrete set V induces Euclidean space structure on V. In particular, an undirected graph specified by an affinity (or adjacency) matrix can be considered as a metric topological space. We have calculated the visual representations of the probabilistic locus for a chain, a polyhedron and a finite 2D lattice.
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