Fisher Linear Discriminant Analysis
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Discriminant Function Analysis - USDA
www.aphis.usda.govanalysis is also called Fisher linear discriminant analysis after Fisher, 1936; computationally all of these approaches are analogous). If we code the two groups in the analysis as 1 and 2 , and use that variable as the dependent variable in a multiple regression analysis, then we would get results that are analogous to those we would obtain ...
Data Science Cheatsheet 2
raw.githubusercontent.comLinear Discriminant Analysis Supervised method that maximizes separation between classes and minimizes variance within classes for a labeled dataset Compute the mean and variance of each independent variable for every class C i 2.Calculate the within-class (˙ 2 w) and between-class (˙ b) variance 3.Find the matrix W= (˙2 w) 1(˙2 b) that ...
Pattern Classi cation by Duda et al. - Home | tommyodland.com
tommyodland.com1.5 Linear discriminant functions A linear discriminant function splits the feature space in two using a hyperplane. The equation for a hyperplane is given by g(x) = ! Tx+ ! 0 = ay=! 0! 1 x ; where ! 0 is the bias. The expression aTyis called the augmented form. Figure 4: Linear discriminant functions. The source is Wikipedia.