Introduction to Pattern Recognition: A Matlab Approach

18 CHAPTER 1 Classifiers Based on Bayes Decision Theory

Finally, type Z=[Z1Z2];and do the following:

Step 1. To estimate the Gaussian mixture model of each class, type

m11_ini=[0; 2]; m12_ini=[5; 2]; m13_ini=[5; 5];

m1_ini=[m11_ini m12_ini m13_ini];

S1_ini=[0.15 0.27 0.4];

w1_ini=[1/3 1/3 1/3];

m21_ini=[5; 2]; m22_ini=[3; 4]; m23_ini=[2; 5];

m2_ini=[m21_ini m22_ini m23_ini];

S2_ini=[0.15 0.27 0.35];

w2_ini=[1/3 1/3 1/3];

m_ini{1}=m1_ini;

m_ini{2}=m2_ini;

S_ini{1}=S1_ini;

S_ini{2}=S2_ini;

w_ini{1}=w1_ini;

w_ini{2}=w2_ini;

[m_hat,S_hat,w_hat,P_hat]=...

EM_pdf_est([X1 X2],[ones(1,500) 2*ones(1,500)],m_ini,S_ini,w_ini);

The estimated values of the remaining paramete ...