Selecting the optimal number of components for a Gaussian mixture model

Abstract

We compare two approaches to determining the optimal number of component Gaussians to include in a Gaussian mixture model, the Akaike information criterion and the Rissanen (1989) minimum description length method.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>