Concept information
Término preferido
k-nearest neighbor classification
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Definición
- The k-nearest neighbors algorithm is a non-parametric classification method which consists in taking into account (in an identical way) the k training samples whose input is closest to the new input x, according to a distance to be defined. (Wikipedia, retrieved 07/07/2021).
Concepto genérico
etiqueta alternativa (skos)
- k-nearest neighbour classification
- k-NN
- KNN
En otras lenguas
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francés
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classification des k plus proches voisins
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k-NN
-
KNN
URI
http://data.loterre.fr/ark:/67375/LTK-P43MX7SW-N
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