Influence of Projection Pursuit on Classification Errors: Computer Simulation Results
Gintautas Jakimauskas, Ričardas Krikštolaitis · 2000
Abstract. Influence of projection pursuit on classification errors and estimates of a posteriori prob-abilities from the sample is considered. Observed random variable is supposed to satisfy a multidi-mensional Gaussian mixture model. Presented computer simulation results show that for compar-atively small sample size classification using projection pursuit algorithm gives better accuracy of estimates of a posteriori probabilities and less classification error.