k-Nearest Neighbour Classification of Datasets with a Family of Distances

29 Nov 2015 Stan Hatko

The $k$-nearest neighbour ($k$-NN) classifier is one of the oldest and most important supervised learning algorithms for classifying datasets. Traditionally the Euclidean norm is used as the distance for the $k$-NN classifier... (read more)

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