New variables after computing Principal Components Analysis
1 Ansicht (letzte 30 Tage)
Ältere Kommentare anzeigen
NCA
am 5 Jul. 2021
Kommentiert: the cyclist
am 5 Jul. 2021
After computing principal components analysis, what will represent my new variables to be used to build my model , is it the scores?
Thank You
0 Kommentare
Akzeptierte Antwort
the cyclist
am 5 Jul. 2021
Yes, the output score is the observed values of the variables in the principal coordinate axes.
I wrote a detailed answer to this question that is a tutorial on how to use MATLAB's pca() function. You might find it helpful.
2 Kommentare
the cyclist
am 5 Jul. 2021
You want to use score, not score*coeff.
score is equivalent to X*coeff; it's the original observations transformed to the PC coordinates.
Weitere Antworten (1)
Image Analyst
am 5 Jul. 2021
Attached is a demo where I get the PCs of an RGB true color image, plus another demo.
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/674628/image.png)
0 Kommentare
Siehe auch
Kategorien
Mehr zu Dimensionality Reduction and Feature Extraction finden Sie in Help Center und File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!