"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…"
"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…"