how to run principal component analysis in a 3D matrix
58 visualizzazioni (ultimi 30 giorni)
Mostra commenti meno recenti
Hi,
I am trying to run principal component analysis, pca() function to a 3D matrix. It does not work and I think it only works with 2D matrixes. Is there any way to circunvent this limitation?
Thank you,
Best regards,
0 Commenti
Risposta accettata
AndresVar
il 21 Feb 2022
Modificato: AndresVar
il 21 Feb 2022
You can reshape the matrix to 2D and then when you get results convert it back to the orginal dimensions if needed
There tricky part is to choose how to reshape. But say 2 dimensions are data, and the third is time then
data3d = ones([2,2,3]);
data2d = reshape(data3d,[],size(data3d,3));
size(data2d)
so the columns become the new time dimension.
0 Commenti
Più risposte (1)
Image Analyst
il 22 Feb 2022
See my attached demo where I run it on a 3-D (true color) image. Adapt as needed.
0 Commenti
Vedere anche
Categorie
Scopri di più su Dimensionality Reduction and Feature Extraction in Help Center e File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!