k-Nearest Neighbors (k-NN) classifier – Supervised Learning
What is k-Nearest Neighbors (k-NN)? k-Nearest Neighbors (k-NN) is one of the simplest and most intuitive supervised learning algorithms. It’s used for classification (predicting categories) and regression (predicting continuous values). The idea: Store all training data. To predict a new point, look at its k closest neighbors (using distance, usually Euclidean). For classification: take a […]