Influence of Projection Pursuit on Classification Errors: Computer Simulation Results

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. Key words: Gaussian mixture model, projection pursuit, classification.

• Type: Journal
• Year: 2000
• Where: INFORMATICALT
• Authors: Gintautas Jakimauskas, Ricardas Krikstolaitis
• Keywords: Classification Error, Gaussian Mixture Model, INFORMATICALT 2000, Posteriori Probabilities