Effacer les filtres
Effacer les filtres

how to run principal component analysis in a 3D matrix

38 vues (au cours des 30 derniers jours)
Hugo
Hugo le 21 Fév 2022
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,

Réponse acceptée

AndresVar
AndresVar le 21 Fév 2022
Modifié(e) : AndresVar le 21 Fév 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)
ans = 1×2
4 3
so the columns become the new time dimension.

Plus de réponses (1)

Image Analyst
Image Analyst le 22 Fév 2022
See my attached demo where I run it on a 3-D (true color) image. Adapt as needed.

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