Using Kernel Local Fisher Discriminant Analysis to Classify Population in Iraq According to Government

Abstract

In this paper , the method of spatial discriminant analysis was used for the purpose of distinguishing population structures in the governorates of Iraq by selecting groups of residents according to the governorates in Iraq across their geographical regions and spatial lines for the purpose of distinguishing between the spatial patterns of the population and their growth. Using the Matlab program, it was concluded that the method of spatial discriminant analysis Fisher's on-site discriminant analysis is better than the rest of the discriminant analysis methods, which are (Fisher's linear discriminant analysis - core discriminant analysis - on-site discriminant analysis), and it was also found that there are governorates with more population growth than the rest of the governorates, which are (Baghdad - Anbar - Basra - Babylon - Karbala ) Relative to the geographical locations of the governorates and the spatial points of the population projections.