clear all; close all; clc; randn(\'seed\',0); mu1=[0 0]; S1=[0.3 0;0 0.35]; cls1_data=mvnrnd(mu1,S1,1000); plot(cls1_data(:,1),cls1_data(:,2),\'+\'); hold on; mu2=[4 0]; S2=[1.2 0;0 1.85]; cls2_data=mvnrnd(mu2,S2,1000); plot(cls2_data(:,1),cls2_data(:,2),\'r+\'); axis([-8 8 -8 8]); for i=-4:0.1:8 for j=-6:0.1:6 d1=([i,j]-mu1)*inv(S1)*([i,j]-mu1)\'; d2=([i,j]-mu2)*inv(S2)*([i,j]-mu2)\'; d=d1-d2; if d<0.1 plot(i,j); end end end grid on; figure; mu1=[0 0]; S1=[0.1 0;0 0.75]; cls1_data=mvnrnd(mu1,S1,1000); plot(cls1_data(:,1),cls1_data(:,2),\'+\'); hold on; mu2=[3.2 0]; S2=[0.75 0;0 0.1]; cls2_data=mvnrnd(mu2,S2,1000); plot(cls2_data(:,1),cls2_data(:,2),\'r+\'); axis([-8 8 -8 8]); for i=-8:0.1:8 for j=-8:0.1:8 d1=([i,j]-mu1)*inv(S1)*([i,j]-mu1)\'; d2=([i,j]-mu2)*inv(S2)*([i,j]-mu2)\'; d=d1-d2; if d<0.1 plot(i,j); end end end grid on; figure; mu1=[0 3]; S1=[0.3 0;0 0.35]; cls1_data=mvnrnd(mu1,S1,1000); plot(cls1_data(:,1),cls1_data(:,2),\'+\'); hold on; mu2=[4 0]; S2=[0.3 0;0 0.35]; cls2_data=mvnrnd(mu2,S2,1000); plot(cls2_data(:,1),cls2_data(:,2),\'r+\'); axis([-8 8 -8 8]); for i=-8:0.1:8 for j=-8:0.1:8 d1=([i,j]-mu1)*inv(S1)*([i,j]-mu1)\'; d2=([i,j]-mu2)*inv(S2)*([i,j]-mu2)\'; d=d1-d2; if d<0.1 plot(i,j); end end end grid on; figure; mu1=[0 -3]; S1=[0.5 1;1 2.5]; cls1_data=mvnrnd(mu1,S1,1000); plot(cls1_data(:,1),cls1_data(:,2),\'+\'); hold on; mu2=[4 0]; S2=[0.5 1;1 2.5]; cls2_data=mvnrnd(mu2,S2,1000); plot(cls2_data(:,1),cls2_data(:,2),\'r+\'); axis([-8 8 -8 8]); for i=-8:0.1:8 for j=-8:0.1:8 d1=([i,j]-mu1)*inv(S1)*([i,j]-mu1)\'; d2=([i,j]-mu2)*inv(S2)*([i,j]-mu2)\'; d=d1-d2; if d<0.1 plot(i,j); end end end grid on;
图片福利:
参考:
1.Sergios Theodoridis and Konstantinos Koutroumbas."Pattern Recognition"(Fourth Edition).2009.13-23.
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