pca function returns the wrong output in R2022a

6 visualizaciones (últimos 30 días)
Paul
Paul el 6 de Jun. de 2023
Comentada: Paul el 7 de Jun. de 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?

Respuesta aceptada

Steven Lord
Steven Lord el 6 de Jun. de 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 comentarios
Paul
Paul el 7 de Jun. de 2023
I didn't write it myself. It came with a repository that was left behind by a former colleague.
Paul
Paul el 7 de Jun. de 2023
I excluded the folder from my path. Now pca works as expected. Thanks for your help!

Iniciar sesión para comentar.

Más respuestas (0)

Categorías

Más información sobre Dimensionality Reduction and Feature Extraction en Help Center y File Exchange.

Productos


Versión

R2022a

Community Treasure Hunt

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

Start Hunting!

Translated by