Artículos de revistas
Comparison for three Classification Techniques
Fecha
2009Registro en:
REVISTA COLOMBIANA DE ESTADISTICA, v.32, n.2, p.247-265, 2009
0120-1751
Autor
BARAJAS, Freddy Hernandez
MORALES, Juan Carlos Correa
Institución
Resumen
In this paper we show the results of a comparison simulation study for three classification techniques: Multinomial Logistic Regression (MLR), No Metric Discriminant Analysis (NDA) and Linear Discriminant Analysis (LDA). The measure used to compare the performance of the three techniques was the Error Classification Rate (ECR). We found that MLR and LDA techniques have similar performance and that they are better than DNA when the population multivariate distribution is Normal or Logit-Normal. For the case of log-normal and Sinh(-1)-normal multivariate distributions we found that MLR had the better performance.