e_quadratic.m

支持向量机工具箱

figure('name','特征提取_Quadratic方法');


% load training data living in the input space
input_data = load('vltava');
% map data to the feature space
subplot(1,4,1);title('原始分布');
 h1=ppatterns(input_data);
 legend([h1],'Training set');


map_data = qmap(input_data);
% train linear rule in the feature sapce
subplot(1,4,2);title('Map_分布');
 h1=ppatterns(map_data);
 legend([h1],'Map set');

lin_model = perceptron(map_data);
% compute parameters of the quadratic classifier
quad_model = lin2quad(lin_model);
% visualize the quadratic classifier

subplot(1,4,3);title(' 分类1');
 h1=ppatterns(input_data);
  legend([h1],'Training set');
  
 subplot(1,4,4);title(' 分类2');
 
 ppatterns(map_data);
pboundary(quad_model);

clear;clc;