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Relationships Between Support Vector Classifiers and Generalized Linear Discriminant Analysis on Support Vectors
(Georgia Institute of Technology, 2006)
The linear discriminant analysis based on the generalized singular value decomposition (LDA/GSVD) has been introduced to circumvent the nonsingularity restriction inherent in the classical LDA. The LDA/GSVD provides a ...
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 ...
Multiclass Classifiers Based on Dimension Reduction with Generalized LDA
(Georgia Institute of Technology, 2006-01-27)
Linear discriminant analysis (LDA) has been widely used for dimension reduction of data sets with multiple classes. The LDA has been recently extended to various generalized LDA methods which are applicable regardless ...