Your team is tasked with selecting an algorithm for a supervised learning classification project.

K-nearest neighbor (KNN) is a classic supervised classification algorithm that assigns a class label based on the majority label of the K closest training samples in feature space. In contrast, Gaussian Mixture Models and K-means are unsupervised clustering techniques, and Q-learning is a reinforcement-learning algorithm—not a supervised classifier .

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