k nearest neighbor (kNN): how it works

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[http://bit.ly/k-NN] The k-nearest neighbor (k-NN) algorithm is based on the intuition that similar instances should have similar class labels (in classification) or similar target values (regression). The algorithm is very simple, but is capable of learning highly-complex non-linear decision boundaries and regression functions. On the downside, the algorithm is computationally expensive, and is prone to overfitting.

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