pca function returns the wrong output in R2022a
6 vues (au cours des 30 derniers jours)
Afficher commentaires plus anciens
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?
0 commentaires
Réponse acceptée
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
6 commentaires
Plus de réponses (0)
Voir également
Catégories
En savoir plus sur Dimensionality Reduction and Feature Extraction dans Help Center et File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!