Dear all, The help file for the PCA class is unclear about the preprocessing performed to the data. You can check on line 410 here: https://github.com/scikit-learn/scikit-learn/blob/ef5cb84a/sklearn/ decomposition/pca.py#L410 that the matrix is centered but NOT scaled, before performing the singular value decomposition. However, the help files do not make any mention of it. This is unclear for someone who, like me, just wanted to compare that the PCA and np.linalg.svd give the same results. In academic settings, students are often asked to compare different methods and to check that they yield the same results. I expect that many students have confronted this problem before... Best, Ismael Lemhadri
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