k-Nearest Neighbors (kNN) is one of the simplest and intuitive machine learning algorithm out there. It simply argues that a new sample should be classified based on the identity of the k (to be defined) nearest neighbors. In order words, neighbors should have the same identity. Note that this is a kind of inductive bias, that is, this is how it generalizes…
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