Probabilistic Embedding Of Discrete Sets As Continuous Metric Spaces
نویسنده
چکیده
Any symmetric affinity function w : V × 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 2-dimensional lattice.
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تاریخ انتشار 2008