| Display title | k-nearest neighbors algorithm |
| Default sort key | K-nearest neighbors algorithm |
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| Page ID | 183404 |
| Page content language | en - English |
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| Page creator | imported>HamTop |
| Date of page creation | 12:46, 8 July 2025 |
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Description | Content |
Article description: (description)
This attribute controls the content of the description and og:description elements. | In statistics, the k-nearest neighbors algorithm (k-NN) is a non-parametric supervised learning method. It was first developed by Evelyn Fix and Joseph Hodges in 1951, and later expanded by Thomas Cover.
Most often, it is used for classification, as a k-NN classifier, the output of which is a class... |
