KNN Principles and Six Use Cases
Nearest Neighbor Algorithm Algorithm Principles The principle of the nearest neighbor method is to find a predefined number of training samples that are closest to the new point and predict the label from them. The number of samples can either be a user-defined constant (k-nearest neighbor learning) or can vary based on the local density … Read more