Facts
Urlhttps://en.wikipedia.org/wiki/K-nearest_neighbors_algorithm
Sources
Wikipedia: K-nearest neighbors algorithm
Lead sectionQuote, Lead section
In statistics and machine learning, the k-nearest neighbors algorithm (k-NN) is a non-parametric supervised learning method that assigns weightage only to the k (number of) nearest neighbors of an entity in making a decision about the entity.
Claims Backed By This Source (5 claims)
This source backs 5 claims across the atlas. As facts: 2 well-attested. As cited relationships: 2 holds. Plus 1 entities citing it as a general reference with no single fact or relationship attached.
Disposition By Topic
- Algorithms, 4 claims: 1 well-attested, 2 holds, 1 general references.
- Sources, 1 claims: 1 well-attested.
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