J. García-Hernández, V. Alabau, A. Juan and E. Vidal

Bernoulli Mixture-based classification

Learning'04, Elche (Spain), 2004

Abstract

Mixture modelling is a hot area in pattern recognition. Although most
research on mixture models has concentrated on mixtures for continuous
data, there are many pattern recognition tasks for which binary or
discrete mixtures are better suited. This paper focuses on the use of
three EM initialisation techniques for Bernoulli mixtures for binary
data.