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GlossaryMachine LearningK-Nearest Neighbors

K-Nearest Neighbors

[keɪ ˈnɪərɪst ˈneɪbərz]
Machine Learning
Last updated: December 9, 2024

Definition

A simple algorithm classifying based on closest data points.

Detailed Explanation

K-Nearest Neighbors classifies data points by assigning them the majority label of their closest neighbors in the feature space. It’s a non-parametric instance-based learning method.

Use Cases

Recommendation systems anomaly detection pattern recognition data imputation intrusion detection.

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