# K-Nearest Neighbors Classifier

> Source: https://sukruyusufkaya.com/en/glossary/k-nearest-neighbors-classifier
> Updated: 2026-05-13T21:05:57.026Z
> Type: glossary
> Category: makine-ogrenmesi
**TLDR:** An instance-based classification method that labels a sample according to the classes of its nearest neighbors in feature space.

<p>The K-Nearest Neighbors classifier is an intuitive method that does not explicitly build a model during training, but instead makes decisions by retaining the data in memory. A new sample is classified according to the majority class among its closest neighbors. Its simplicity and minimal assumptions are important advantages. However, high-dimensional data, scale differences, and computational cost in large datasets can limit performance.</p>