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K-Nearest Neighbors (KNN)MLAI/Classification 2020. 1. 20. 20:49
1. Overview K nearest neighbors is a simple algorithm that stores all available cases and classifies new cases based on a similarity measure (e.g., distance functions) 2. Description 2.1 Procedure Step 1: Choose the number K of neighbors Step 2: Take the K nearest neighbors of the new data point, according to the Euclidean distance Step 3: Among these K neighbors, count the number of data points..