The k-nearest neighbors algorithm, also known as KNN or k-NN, is a non-parametric, supervised learning classifier, which uses proximity to make classifications or predictions about the grouping of an individual data point.
| Framework | MITRE D3FEND |
| Ontology URI | d3f:K-NearestNeighbors |
| Local Identifier | K-NearestNeighbors |
| Publication Status | Exists in ontology only |