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Figure 5.7 Linear, Quadratic, and Regularized Discriminant Analysis
The Linear, Quadratic, and Regularized methods are illustrated in Figure 5.7. The methods are described here briefly. For technical details, see Saved Formulas.
The first parameter (Lambda, Shrinkage to Common Covariance) specifies how to mix the individual and group covariance matrices. For this parameter, 1 corresponds to Linear Discriminant Analysis and 0 corresponds to Quadratic Discriminant Analysis.
The second parameter (Gamma, Shrinkage to Diagonal) is a multiplier that specifies how much deflation to apply to the non-diagonal elements (the covariances across variables). If you choose 1, then the covariance matrix is forced to be diagonal.

Help created on 3/19/2020