pca function returns the wrong output in R2022a

6 vues (au cours des 30 derniers jours)
Paul
Paul le 6 Juin 2023
Commenté : Paul le 7 Juin 2023
Dear all,
I tried to use pca on 10x16 matrix. The function returned a 16x1 vector for coeff. According to the documentation it should be 16x16 matrix in my case. I figured, there must be something wrong with my input matrix, so I tried the example from the pca documentation page and got this:
load hald
>> coeff=pca(ingredients)
coeff =
517.7969
67.4964
12.4054
0.2372
Can there be something wrong with the pca function? Maybe its version issue. I am using R2022a.
Does anyone experience something similiar?

Réponse acceptée

Steven Lord
Steven Lord le 6 Juin 2023
Let's check that you're using the pca function included in Statistics and Machine Learning Toolbox. What does this command show?
which -all pca
/MATLAB/toolbox/stats/stats/pca.m /MATLAB/toolbox/stats/bigdata/@tall/pca.m % tall method /MATLAB/toolbox/stats/gpu/@gpuArray/pca.m % gpuArray method
  6 commentaires
Paul
Paul le 7 Juin 2023
I didn't write it myself. It came with a repository that was left behind by a former colleague.
Paul
Paul le 7 Juin 2023
I excluded the folder from my path. Now pca works as expected. Thanks for your help!

Connectez-vous pour commenter.

Plus de réponses (0)

Catégories

En savoir plus sur Dimensionality Reduction and Feature Extraction dans Help Center et File Exchange

Produits


Version

R2022a

Community Treasure Hunt

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

Start Hunting!

Translated by