Multivariate Gaussian Distribution
Creates a number of samples from a specified number of dimensions and centers them around a given mean, and within a given covariance range. You might not find it very useful, but hey, I need something to do this so why not.
To use:
You need to generate 1000 samples from a 3 dimensional Gaussian distribution with a mean m = [4,5,6], and with a covariance sigma = [9 0 0;0 9 0;0 0 9].
Command line:
x=mgd(1000,3,m,sigma) or x=mgd(1000,3,m',sigma)
it doesn't matter if the mean is given as a row or column vector
x is a (1000x3) matrix of the where
where each row is the coordinates of that point in 3 space.
Cita come
Timothy Felty (2024). Multivariate Gaussian Distribution (https://www.mathworks.com/matlabcentral/fileexchange/5984-multivariate-gaussian-distribution), MATLAB Central File Exchange. Recuperato .
Compatibilità della release di MATLAB
Compatibilità della piattaforma
Windows macOS LinuxCategorie
- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Probability Distributions > Continuous Distributions > Inverse Gaussian Distribution >
Tag
Riconoscimenti
Ispirato: Gaussian Random Samples Generation
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Scopri Live Editor
Crea script con codice, output e testo formattato in un unico documento eseguibile.
Versione | Pubblicato | Note della release | |
---|---|---|---|
1.0.0.0 | Added some error checking that was lacking. Updated to gracefully handle the one sample issue. Updated the comments. |