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K Nearest Neighbors Notes by p-jorn is a document available to read on EtoBox.

K-Nearest Neighbors (KNN) is a supervised machine learning algorithm used for classification and regression by comparing new data points to existing labeled data. It operates by determining the K nearest neighbors based on distance metrics, typically Euclidean distance, and assigns the most common class among those neighbors. KNN is easy to implement and requires no training phase, but it can be slow with large datasets and sensitive to irrelevant features.

Author

p-jorn

Language

EN