Influence of Projection Pursuit on Classification Errors: Computer Simulation Results

Article type: Research Article

Authors: Jakimauskas, Gintautas | Krikštolaitis, Ričardas

Affiliations: Institute of Mathematics and Informatics, Akademijos 4, 2600 Vilnius, Lithuania. E-mail: gntktl.mii.lt | Vytautas Magnus University, Vileikos 8, 3000 Kaunas, Lithuania. E-mail: [email protected]

Abstract: Influence of projection pursuit on classification errors and estimates of a posteriori probabilities from the sample is considered. Observed random variable is supposed to satisfy a multidimensional Gaussian mixture model. Presented computer simulation results show that for comparatively small sample size classification using projection pursuit algorithm gives better accuracy of estimates of a posteriori probabilities and less classification error.

Keywords: Gaussian mixture model, projection pursuit, classification

DOI: 10.3233/INF-2000-11201

Journal: Informatica, vol. 11, no. 2, pp. 115-124, 2000