Linear discriminant analysis with trimmed and difference distribution modeling

Benson S. Y. Lam, Siu-Kai Choy, Carisa Kwok Wai Yu

Abstract: Highlights•The theoretical classification error can be expressed as a difference function.•A trimming strategy is proposed to select the discriminant parts of the function.•The selected parts effectively discard noise and produce a robust projection matrix.