How Can you redesign this code? Same result but different structure
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My Code:
clear
format compact
close all
randn('seed',0)
% Definition of mu's and Sigma
% Mean vectors and covariance matrix
m1=[0 2]'; m2=[0 0]'; S1=[4 1.8; 1.8 1]; S2= [4 1.2; 1.2 1];
% Number of data points
n_points_per_class=5000;
% (i) Data point generation
X=[mvnrnd(m1',S1,n_points_per_class); mvnrnd(m2',S2,n_points_per_class)]';
label=[ones(1,n_points_per_class) 2*ones(1,n_points_per_class)];
[l,p]=size(X);
%Plot the data set
figure; plot(X(1,label==1),X(2,label==1),'.b',X(1,label==2),X(2,label==2),'.r'); axis equal
% (ii) Bayes classification of X
% Estimation of a priori probabilities
P1=n_points_per_class/p;
P2=P1;
% Estimation of pdf's for each data point
for i=1:p
p1(i)=(1/(2*pi*sqrt(det(S1))))*exp(-(X(:,i)-m1)'*inv(S1)*(X(:,i)-m1)/2);
p2(i)=(1/(2*pi*sqrt(det(S2))))*exp(-(X(:,i)-m2)'*inv(S2)*(X(:,i)-m2)/2);
end
% Classification of the data points
for i=1:p
if(P1*p1(i)>P2*p2(i))
class(i)=1;
else
class(i)=2;
end
end
% (iii) Error probability estimation
Pe=0; %Probability of error
for i=1:p
if(class(i)~=label(i))
Pe=Pe+1;
end
end
Pe=Pe/p
2 commentaires
Walter Roberson
le 29 Mar 2020
Questions like that, without explanation of the reason for rewriting, tend to remind me of students who find someone else's code to do a task and want to rewrite it to hide the fact that they copied the solution instead of creating it themselves.
Alice Zurock
le 29 Mar 2020
Modifié(e) : Alice Zurock
le 29 Mar 2020
Réponse acceptée
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