How Can you redesign this code? Same result but different structure
1 vue (au cours des 30 derniers jours)
Afficher commentaires plus anciens
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.
Réponse acceptée
darova
le 29 Mar 2020
You can remove some constants from for loop to speed up your code
This part can be shorter and vectorized
% for i=1:p
% if(P1*p1(i)>P2*p2(i))
% class(i)=1;
% else
% class(i)=2;
% end
% end
ix = P1*p1 > P2*p2
class = ix + 2*~ix;
4 commentaires
Plus de réponses (0)
Voir également
Catégories
En savoir plus sur Data Distribution Plots dans Help Center et File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!