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