K-nearest Neighbor Classification Algorithm
MachineLearningTask AIO:KnearestNeighborClassificationAlgorithm NOT_REVIEWED
A classification and clustering that classifies objects by a plurality vote of its neighbors, assigning each object to the class most common among its k nearest neighbors.
Ontology Structure & Relationships
Parent Classes
Branches
Annotations & Sources
Synonyms:
- K-NN Classification exact
- KNN Classification exact
Definition Sources:
Subsets:
https://w3id.org/aio/MachineLearningSubset
Curated AIMech Concepts Grounded to this Class
3 Concepts| Curated Concept | Kind | Mapping Relation | Rationale |
|---|---|---|---|
Large margin nearest neighbor
AIMech:LargeMarginNearestNeighbor |
Algorithms | related_match | LMNN learns the distance used in nearest-neighbor voting. The target describes the voting task, so this is a related metric-training-to-classification association, not algorithm identity. |
Neighbourhood components analysis
AIMech:NeighborhoodComponentsAnalysis |
Algorithms | related_match | NCA learns the distance used by a nearest-neighbor classifier and explicitly applies voting after projection. It is distinct from the AIO voting task, so this is a related method-to-task association. |
Relevant component analysis
AIMech:RelevantComponentAnalysis |
Algorithms | related_match | The learned distance can be used for nearest-neighbor classification, one stated application. Learning this representation is distinct from the target’s voting rule; the relation is an explicitly related method-to-application association. |
Import Provenance & Upstream Synchronization
Source Repo: AIO GitHub
Release Version:
aio.jsonCommit:
397851c547…License: CC-BY-4.0
Imported At: 2026-10-10T07:34:10Z
SHA256:
8f741d71408c…