e_gda.m

支持向量机工具箱

%addpath G:\Matlab_EXP\stprtool
%addpath G:\Matlab_EXP\stprtool\data%\

figure('name','特征提取_gda方法');

orig_data = load('iris'); % load data
 subplot(2,1,1);title('原始分布');
 ppatterns(orig_data);
options.ker ='rbf'; % use RBF kernel
options.arg = 1; % kernel arg.
options.new_dim = 2; % output dimension
model = gda(orig_data,options); % train GDA
ext_data = kernelproj(orig_data,model); % feature ext.
subplot(2,1,2);title('新的分布');
ppatterns(ext_data); % visualization