Kernel Linear Discriminant

Discover kernel linear discriminant for multiclass classification with two-class and multiclass formulation.

Discriminant analysis is a statistical technique used to classify objects or cases into two or more groups based on a set of predictor variables. The aim of discriminant analysis is to find a function or set of functions that can discriminate between the groups with high accuracy.

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