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The K-Nearest Neighbor (KNN) algorithm is a simple supervised learning technique used for classification and regression based on the similarity of data points. It operates by storing all available data and classifying new data points into categories based on the closest neighbors determined by Euclidean distance. While KNN is easy to implement and robust to noise, it requires careful selection of the parameter K and can be computationally expensive.
- Author
- micheleldavis248
- Language
- EN