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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 π<sub>i</sub><math>f</math><sub>i</sub><math>(x)</math>, where <math>f</math><sub>i</sub><math>(x)</math> represents the prior probability of that classification, and π<sub>i</sub> represents the population density
*[[Linear Discriminant Analysis|Fisher’s Linear Discriminant Rule]]: Maximizes the ratio between SSbetween and SSwithin, and finds a linear combination of the predictors to predict group <ref name="har"/>.
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