"The result of the PCA won't be normalized.
PCA is an orthogonal linear transformation between your initial data space and a new space that is spanned by the eigenvectors of the covariance/correlation matrix.
The only thing you could say is…"
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Yassin Jomni replied to Vishal Kapur's discussion Input to PCA"It depends. You can compute the PCA on two ways:
1- By computing the eigenvalues and eigenvectors of the covariance matrix: In this case, you need to normalize your data (between 0-1)
2- By computing the eigenvalues and eigenvectors of the…"
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