Kernel machines.

 extraction  - (dir) Kernel feature extraction.
 preimage    - (dir) Pre-image problem for RBF kernel.

 diagker     - Returns diagonal of kernel matrix.
 dualcov     - Dual representation of covariance matrix.
 dualmean    - Computes dual representation of mean vector.
 kdist       - Computes distance between points in kernel space. 
 kernel      - Evaluates kernel function.
 kernelproj  - Kernel projection.    
 kfd         - Kernel Fisher Discriminat.
 knorm       - Computes L2-norm in kernel space.
 kperceptr   - Kernel Perceptron.
 lin2svm     - Merges linear rule and kernel projection. 
 minball     - Minimal enclosing ball in kernel feature space.
 
 rsrbf       - Redused Set Method for RBF kernel expansion.   
 rspoly2     - Reduced Set Method for homegeneous 2nd polynomial kernel.


 About: Statistical Pattern Recognition Toolbox
 (C) 1999-2004, Written by Vojtech Franc and Vaclav Hlavac
 Czech Technical University Prague
 Faculty of Electrical Engineering
 Center for Machine Perception

 Modifications:
 22-dec-2004, VF
 08-oct-2004, VF
 10-jun-2004, VF
 20-sep-2003, VF