Normalized Gaussian Networks with Mixed Feature Data


Autoria(s): Ng, A. S. K.; McLachlan, G. J.
Contribuinte(s)

S. Zhang

R. Jarvis

Data(s)

01/01/2005

Resumo

With mixed feature data, problems are induced in modeling the gating network of normalized Gaussian (NG) networks as the assumption of multivariate Gaussian becomes invalid. In this paper, we propose an independence model to handle mixed feature data within the framework of NG networks. The method is illustrated using a real example of breast cancer data.

Identificador

http://espace.library.uq.edu.au/view/UQ:77583

Idioma(s)

eng

Publicador

Springer-Verlag

Palavras-Chave #Computer Science, Artificial Intelligence #Em Algorithm #Expression Data #C1 #230204 Applied Statistics #780101 Mathematical sciences
Tipo

Conference Paper