The problem of nonparametric classification by -nearest neighbors rule in a general metric space will be considered. Consistency and strong consistency of the classifier will be established under mild conditions.
Le problème de la classification non paramétrique par la règle des - plus proches voisins dans un espace métrique général sera considéré. La consistance et la forte consistance du classifieur seront établies sous des conditions légères.
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Ahmad Younso 1, 2
@article{CRMATH_2023__361_G1_237_0, author = {Ahmad Younso}, title = {Consistency of the $k$-nearest neighbors rule for functional data}, journal = {Comptes Rendus. Math\'ematique}, pages = {237--242}, publisher = {Acad\'emie des sciences, Paris}, volume = {361}, year = {2023}, doi = {10.5802/crmath.402}, language = {en}, }
Ahmad Younso. Consistency of the $k$-nearest neighbors rule for functional data. Comptes Rendus. Mathématique, Volume 361 (2023), pp. 237-242. doi : 10.5802/crmath.402. https://comptes-rendus.academie-sciences.fr/mathematique/articles/10.5802/crmath.402/
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