%0 Journal Article
%T Composi£¿£¿o de especialistas locais para classifica£¿£¿o de dados
%A Santos
%A Omar J. S.
%A Milioni
%A Armando Z.
%J Investiga£¿£¿o Operacional
%D 2005
%I Scientific Electronic Library Online
%X in this paper we present a mixture of local experts model (mlem) for data classification. the discriminant tools applied are fisher's discriminant analysis, logistic regression and a non-parametric model called extended dea-da (sueyoshi, 2004). using real data, we compare the results obtained with the mlem, which requires data clusterization and solution investigation on each cluster, against results obtained with a more orthodox approach, which is classification over the entire data set. the main conclusion is that even though it seems to be a promising technique, the additional effort in building a mlem does not assure better results.
%K mixture of local expert models
%K discriminant analysis
%K clustering
%K extended dea-da.
%U http://www.scielo.gpeari.mctes.pt/scielo.php?script=sci_abstract&pid=S0874-51612005000100006&lng=en&nrm=iso&tlng=en