www.pudn.com > osu_svm3.00.zip > c_clademo.m

echo off 
% CLADEMO demonstration for using a contructed SVM classifier to classify  
% input patterns 
echo on;  
% 
% 
% NOTICE: please first run any of the first three demonstrations before 
%         running this, because this demonstrate needs the results obtained 
%         from any of the previous demonstrations. 
% 
 
pause 
 
clc 
% CLADEMO demonstration for using a contructed SVM classifier to classify  
% input patterns 
%########################################################################## 
% 
%   This is a demonstration script-file for classifying the 
%   input patterns using a constructed SVM classifier  
% 
%########################################################################## 
 
pause % Strike any key to continue (Note: use Ctrl-C to abort) 
 
clc 
%########################################################################## 
% 
% Classify input patterns using the constructed SVM Classifier 
% 
%########################################################################## 
pause % Strike any key to continue  
 
% Load the constructed SVM classifier 
clear all 
load SVMClassifier 
 
pause % Strike any key to continue  
 
% have a look at the variables determining the SVM classifier 
who 
 
pause % Strike any key to continue  
 
% load the patterns 
load DemoData_class 
 
pause % Strike any key to continue  
 
 
% Classify input patterns using the constructed nonlinear SVM Classifier 
% begin classification ...... 
[Labels, DecisionValue]= SVMClass(Samples, AlphaY, SVs, Bias, Parameters, nSV, nLabel); 
% end of the classification 
 
pause % Strike any key to continue  
 
% Compare the resultant labels with the true labels of the data 
plot(1:length(TrueLabels),TrueLabels,'b-',1:length(TrueLabels),Labels,'r.'); 
ylabel('Class Index'); 
xlabel('Pattern Index'); 
legend('True Labels','Resultant Labels',0); 
 
pause % Strike any key to continue  
 
 
echo off