Understanding K-Nearest Neighbors (KNN) in Analytics

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K-Nearest Neighbors (KNN) is a lazy learning algorithm that predicts outcomes based on the similarity of data points. An example is classifying students based on preferences, where friends as data points help determine decisions. The basic procedure involves computing distances using methods like Euclidean and Manhattan, sorting neighbors, and assigning the majority label. Distance weighting enhances accuracy by giving closer neighbors a stronger influence. Practical application can be seen...