Análisis discriminante no métrico y regresión logística en el problema de clasificación

  • Olga C. Úsuga-Manco Docente asistente. Departamento de Ingeniería Industrial. Universidad de Antioquia. Medellín
  • Carmen E. Patiño-Rodríguez Docente asistente. Departamento de Ingeniería Industrial. Universidad de Antioquia. Medellín
Keywords: Discriminant analysis, no metric discriminant analysis, logistic regression, classification.

Abstract

A study of comparison between non-metric discriminant analysis and logistic regression when the classification system has more than two clusters is shown, taking into account normal and non-normal distributions under different sample sizes. This process was carried out by means of a simulation study, evaluating the two procedures by the rate of misclassification. This study is derived from a research project and concluded that symmetrical distributions under the two procedures are similar in terms of the rate of misclassification and non-symmetrical distributions under the logistic regression performs better than the non metric discriminant analysis.

Author Biographies

Olga C. Úsuga-Manco, Docente asistente. Departamento de Ingeniería Industrial. Universidad de Antioquia. Medellín

Docente asistente. Departamento de Ingeniería Industrial. Universidad de
Antioquia. Medellín

Carmen E. Patiño-Rodríguez, Docente asistente. Departamento de Ingeniería Industrial. Universidad de Antioquia. Medellín

Docente asistente. Departamento de Ingeniería Industrial. Universidad de Antioquia. Medellín

How to Cite
[1]
O. C. Úsuga-Manco and C. E. Patiño-Rodríguez, “Análisis discriminante no métrico y regresión logística en el problema de clasificación”, TecnoL., no. 21, pp. 13-30, Dec. 2008.

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Published
2008-12-07
Section
Articles

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