contents.m

来自「this a SVM toolbox,it is very useful for」· M 代码 · 共 17 行

% Principal Component Analysis.
%
%   kernelpca   - Non-linear version of PCA.
%   pkenrelpca  - Vizualizes Kernel-PCA mapping in 2D.
%   spca        - Standard linear PCA (Karhunen-Loeve).
%  
%   pcademo1    - Demo on the standard PCA.
%   kpcademo1   - Demo on use of Kernel-PCA.
%

% Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlavac
% (c) Czech Technical University Prague, http://cmp.felk.cvut.cz
% Written Vojtech Franc (diploma thesis) 02.11.1999
% Modifications
% 6-July-2001, V.Franc, pkernelpca and demos added.
% 23-mar-2001 V. Franc, directory creted