New variables after computing Principal Components Analysis

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NCA 2021 年 7 月 5 日
コメント済み: the cyclist 2021 年 7 月 5 日
After computing principal components analysis, what will represent my new variables to be used to build my model , is it the scores?
Thank You


the cyclist
the cyclist 2021 年 7 月 5 日
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 件のコメント
the cyclist
the cyclist 2021 年 7 月 5 日
You want to use score, not score*coeff.
score is equivalent to X*coeff; it's the original observations transformed to the PC coordinates.


その他の回答 (1 件)

Image Analyst
Image Analyst 2021 年 7 月 5 日
Attached is a demo where I get the PCs of an RGB true color image, plus another demo.

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