Lectures on the Nearest Neighbor Method : Springer Series in the Data Sciences - Gérard Biau

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Lectures on the Nearest Neighbor Method

By: Gérard Biau, Luc Devroye

eText | 8 December 2015

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This text presents a wide-ranging and rigorous overview of nearest neighbor methods, one of the most important paradigms in machine learning. Now in one self-contained volume, this book systematically covers key statistical, probabilistic, combinatorial and geometric ideas for understanding, analyzing and developing nearest neighbor methods.

Gerard Biau is a professor at Universite Pierre et Marie Curie (Paris). Luc Devroye is a professor at the School of Computer Science at McGill University (Montreal).

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