Kernel Discriminant Analysis via Singular Value Decomposition

Kernel Linear Discriminant Analysis via Singular Value Decomposition - A novel implementation combining kernel methods with SVD-based dimensionality reduction for efficient pattern classification. This approach leverages QR decomposition for numerical stability in solving generalized eigenvalue problems.