contents.m~

很好的matlab模式识别工具箱

% Kernel machines.
%
% cvkfd       - Computes cross validation error for given KFD model.
% diagker     - Returns diagonal of kernel matrix of given data.
% dualcov     - Dual representation of covariance matrix.
% dualmean    - Computes dual representation of mean vector.
% gda         - Generalized Discriminant Analysis.
% greedyappx  - Greedy data approximation.
% greedyappx2 - Extended greedy data approximation.
% greedykls   - Greedy Kernel Least-Squares algorithm.
% greedykpca  - Greedy algorithm to Kernel Principal Component Analysis.
% greedykpca2 - Extended greedy algorithm to KPCA.
% kdist       - Computes distance between vectors in kernel space.
% kernelid    - Returns kernel identifier and adjusted arguments.
% kernelproj  - Kernel projection of data.
% kfd         - Kernel Fisher Discriminat.
% kfdqp       - Kernel Fisher Discriminat using QP.
% kls         - Kernel Least-Squares approximation.
% kpca        - Kernel Principal Component Analysis.
% kperceptr   - Kernel Perceptron.
% lin2svm     - Linear SVM changes to non-linear SVM.
% minball     - Computes minimal ball around data in kernel space. 
% minball2    - Computes minimal ball arround data with L2 penalization.
% rbfpreimg   - Finds pre-image of RBF kernel expansion.
%

% About: Statistical Pattern Recognition Toolbox
% (C) 1999-2003, Written by Vojtech Franc and Vaclav Hlavac
% <a href="http://www.cvut.cz">Czech Technical University Prague</a>
% <a href="http://www.feld.cvut.cz">Faculty of Electrical Engineering</a>
% <a href="http://cmp.felk.cvut.cz">Center for Machine Perception</a>

% Modifications:
% 20-sep-03, VF