Fisher Linear Discriminant: A Core Linear Classification Algorithm

Fisher Linear Discriminant serves as one of the most fundamental linear classification algorithms, operating by projecting d-dimensional samples onto an optimal projection line that maximizes class separability. This article implements the Fisher Linear Discriminant algorithm in MATLAB with detailed code explanations, presenting four distinct threshold selection methodologies for practical application.