Wasserstein metric
Distance function defined between probability distributions
In mathematics, the Wasserstein distance or Kantorovich–Rubinstein metric is a distance function defined between probability distributions on a given metric space M {\displaystyle M} . It is named after Leonid Vaseršteĭn.
Nº Q768993 ★★★
Rara · Saberes
Wasserstein metric
Distance function defined between probability distributions
In mathematics, the Wasserstein distance or Kantorovich–Rubinstein metric is a distance function defined between probability distributions on a given metric space M {\displaystyle M} . It is named after Leonid Vaseršteĭn.
Último preço
—
Preço mínimo
—
Mediana 7 d
—
Vendas 30 d
0
Faixa 30 d
—
Em circulação
0
Cotação
mediana
mín – máx
vendas
Sem vendas no período
Ver tabela
| Data | mediana | Mín | Máx | vendas |
|---|
Histórico de vendas
- Última venda
- —
- Média 30 d
- —
- Mínima 30 d
- —
- Máxima 30 d
- —
- Vendas 7 d
- 0
- Vendas 30 d
- 0
Ainda sem vendas.
Vendas anônimas: sem comprador nem vendedor. Os números contam só vendas entre jogadores.
Na Wikipédia
Texto em inglês Ainda não há artigo no seu idioma: trecho em inglês.
In mathematics, the Wasserstein distance or Kantorovich–Rubinstein metric is a distance function defined between probability distributions on a given metric space M {\displaystyle M} . It is named after Leonid Vaseršteĭn. Intuitively, if each distribution is viewed as a unit amount of earth (soil) piled on M {\displaystyle M} , the metric is the minimum "cost" of turning one pile into the other, which is assumed to be the amount of earth that needs to be moved times the mean distance it has to be moved. This problem was first formalised by Gaspard Monge in 1781. Because of this analogy, the metric is known in computer science as the earth mover's distance.
Texto: Wikipédia em inglês, CC BY-SA 4.0. ·
