Complete Tutorial: K-Nearest Neighbors (KNN) Machine Learning with MATLAB

This tutorial provides a complete introduction to K-Nearest Neighbors (KNN) in MATLAB, combining the core theory with practical implementation. It explains how KNN works for binary and multiclass classification, how the choice of k, distance metric, and feature scaling affects performance, and how to build models in MATLAB using tools such as fitcknn, predict, loss, confusion matrices, and the Classification Learner app.

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