Hi
I am stuck in my work because of few confusions.
1. Is the difference of "principal component coefficients" of PCA and "orientation" of regionprops? Do they give the same result?
2. In PCA, By default, pca centers the data and uses the singular value decomposition (SVD) algorithm. But what if I use regionprops to get orientation? Is that on centered data as well?
Can anyone clarify please?
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