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A non-parametric method of classification and regression. The input consists of the $k$ closest training examples in the feature space. The output is either the mode of the neighbors (in classification) or their mean (in regression).
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Normalizing Features for use with KNN
Suppose that I have two features: age and income.
I'm told that I need to normalize features before modeling with KNN. What's the difference between scaling to 0 and 1, taking a unit norm, or z scor …