Title :
Selecting the optimal number of components for a Gaussian mixture model
Author :
McKenzie, Patricia ; Alder, Michael
Author_Institution :
Centre for Intelligent Inf. Process. Syst., Western Australia Univ., Nedlands, WA, Australia
fDate :
27 Jun-1 Jul 1994
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
Keywords :
Gaussian distribution; Gaussian processes; information theory; Akaike information criterion; Gaussian distribution; Gaussian mixture model; minimum description length method; mixture components; Algebra; Australia; Cost function; Gaussian distribution; Gaussian processes; Information processing; Intelligent systems; Probability density function; Probability distribution; Random variables;
Conference_Titel :
Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
Conference_Location :
Trondheim
Print_ISBN :
0-7803-2015-8
DOI :
10.1109/ISIT.1994.394626
