Fast Kernel Density Estimation with Density Matrices and Random Fourier Features

Joseph A. Gallego, Juan F. Osorio, Fabio A. González

Kernel density estimation (KDE) is one of the most widely used nonparametric density estimation methods. The fact that it is a memory-based method, i.e., it uses the entire trainin…