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The neighbors are taken from a set of objects for which the class (for ''k''-NN classification) or the object property value (for ''k''-NN regression) is known. This can be thought of as the training set for the algorithm, though no explicit training step is required.
A peculiarity of the ''k''-NN algorithm is that it is sensitive to the local structure of the data
==Statistical setting==
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