Search results with tag "Linear discriminant"
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.
Lecture 8 - Computer Science - Western University
www.csd.uwo.caFisher Linear Discriminant We need to normalize by both scatter of class 1 and scatter of class 2 ( ) ( ) 2 2 2 1 2 1 2 ~ ~ ~ ~ s J v +++-= m m Thus Fisher linear discriminant is to project on line in the direction v which maximizes want projected means are far from each other want scatter in class 2 is as small as possible, i.e. samples of ...
Neural Networks and Statistical Models - Cornell University
people.orie.cornell.eduFigure 5: Adaline = Linear Discriminant Function The activation function in a perceptron is analogous to the inverse of the link function in a generalized linear model (GLIM) (McCullagh and Nelder 1989). Activation functions are usually bounded, whereas inverse link functions, such as the identity, reciprocal, and exponential functions, often ...