Lectures on the nearest neighbor method

Gérard Biau (1) , Luc Devroye

1 DMA - Département de Mathématiques et Applications - ENS Paris

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.

Domaines: Probabilités [math.PR]

Gérard Biau, Luc Devroye. Lectures on the nearest neighbor method. Springer, 2015, 978-3-319-25386-2. ⟨hal-01361816⟩