Is there a way in Matlab to generate an optimal Latin Hypercube with uniformly distributed points?

55 次查看(过去 30 天)
I want to generate optimal Latin Hypercube sampling using Matlab. In short, I want the sampling to cover the design space as uniformly as possible but in the form of a Latin Hypercube Design. I would like to get the points are uniformly distributed.
Any help will be appreciated. Thank you!

回答(1 个)

Balaji
Balaji 2024-1-3
Hi Malik
To generate an optimal Latin Hypercube Sampling (LHS) in MATLAB, you can use the 'lhsdesign' function, which is available in the Statistics and Machine Learning Toolbox.
You can refer to the below code for reference :
n = 10; % Number of samples
d = 2; % Number of dimensions (variables)
lhs = lhsdesign(n, d, 'criterion', 'maximin', 'iterations', 1000);
For more information on 'lhsdesign' you can refer to the link below:
Hope this helps
Balaji

类别

Help CenterFile Exchange 中查找有关 Industrial Statistics 的更多信息

产品


版本

R2021b

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by