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- Wasserstein_metric abstract "In mathematics, the Wasserstein (or Vasershtein) metric is a distance function defined between probability distributions on a given metric space M.Intuitively, if each distribution is viewed as a unit amount of "dirt" piled on M, the metric is the minimum "cost" of turning one pile into the other, which is assumed to be the amount of dirt that needs to be moved times the distance it has to be moved. Because of this analogy, the metric is known in computer science as the earth mover's distance.The name "Wasserstein/Vasershtein distance" was coined by R. L. Dobrushin in 1970, after the Russian mathematician Leonid Nasonovich Vasershtein who introduced the concept in 1969. Most English-language publications use the German spelling "Wasserstein" (attributed to the name "Vasershtein" being of Germanic origin).".
- Wasserstein_metric wikiPageID "6704603".
- Wasserstein_metric wikiPageRevisionID "600747118".
- Wasserstein_metric author "Rüschendorf, L.".
- Wasserstein_metric hasPhotoCollection Wasserstein_metric.
- Wasserstein_metric id "Wasserstein_metric".
- Wasserstein_metric title "Wasserstein metric".
- Wasserstein_metric subject Category:Measure_theory.
- Wasserstein_metric subject Category:Metric_geometry.
- Wasserstein_metric subject Category:Probability_theory.
- Wasserstein_metric comment "In mathematics, the Wasserstein (or Vasershtein) metric is a distance function defined between probability distributions on a given metric space M.Intuitively, if each distribution is viewed as a unit amount of "dirt" piled on M, the metric is the minimum "cost" of turning one pile into the other, which is assumed to be the amount of dirt that needs to be moved times the distance it has to be moved.".
- Wasserstein_metric label "Wasserstein metric".
- Wasserstein_metric label "ワッサースタイン計量".
- Wasserstein_metric sameAs ワッサースタイン計量.
- Wasserstein_metric sameAs m.0gj9bh.
- Wasserstein_metric sameAs Q768993.
- Wasserstein_metric sameAs Q768993.
- Wasserstein_metric wasDerivedFrom Wasserstein_metric?oldid=600747118.
- Wasserstein_metric isPrimaryTopicOf Wasserstein_metric.