K-Nearest Neighbors
K-Nearest Neighbors (KNN) is a simple, non-parametric supervised learning algorithm used for classification and regression, which predicts target labels by looking at the majority vote of K closest neighboring coordinates.
Frequently Asked Questions
Is KNN a parametric or non-parametric model?▼
It is non-parametric, meaning it makes no assumptions about the underlying data distribution and stores the training data directly.
What is a major limitation of KNN?▼
It is computationally slow during inference because it must calculate distances to all training points for every new query.
Quick Facts
- CategoryFoundational AI
- Key ApplicationRecommendation lists, classification benchmarks, and search matching.
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