The data used in this article is cited directly from the data published in the text. For data with a small number of items, we register the data in the code, and for data with a large number of items, ...

Discriminant analysis is a classification problem, where two or more groups or clusters or populations are known a priori and one or more new observations are classified into one of the known ...

Regularized Discriminant Analysis combines Linear and Quadratic methods for improved classification of objects into groups. Linear Discriminant Analysis uses linear relationships to separate classes, ...

A Python implementation of RSLDA based on paper Wen J, Fang X, Cui J, et al. Robust sparse linear discriminant analysis[J]. IEEE Transactions on Circuits and Systems ...