Discriminant function analysis: Difference between revisions

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*[[Maximum likelihood]]: Assigns x to the group that maximizes population (group) density.<ref name="har"/>
*Bayes Discriminant Rule: Assigns x to the group that maximizes <math>\pi_i f_i(x)</math>, where <math>f_i(x)</math> represents the [[prior probability]] of that classification, and ''π<sub>i</sub>'' represents the population density.<ref name="har"/>
*[[Linear Discriminant Analysis|Fisher’s linear discriminant uulerule]]: Maximizes the ratio between ''SS''<sub>between</sub> and ''SS''<sub>within</sub> , and finds a linear combination of the predictors to predict group.<ref name="har"/>
 
==Eigenvalues==