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Fast Linear Discriminant Analysis using QR Decomposition and Regularization
(Georgia Institute of Technology, 2007-03-23)
Linear Discriminant Analysis (LDA) is among the most optimal dimension reduction methods for classification, which provides a high degree of class separability for numerous applications from science and engineering. ...
A Comparison of Generalized Linear Discriminant Analysis Algorithms
(Georgia Institute of Technology, 2006-01-28)
Linear Discriminant Analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled problems where the number of data samples ...