# PCA on non-centered data [duplicate]

How does the mean influence PCA?
What happens if I use PCA on data with a mean $\ne0$?

• This question: stats.stackexchange.com/q/22329/3277 is very similar – ttnphns Apr 17 '14 at 7:57
• Hi even if the question is very similar here the focus is on pca. The answer on this question for example give more information on pca thant the answers on the other question. I do not think that PCA can be related 100% with intercept estimation problem – Donbeo Apr 18 '14 at 10:07

• PCA of the correlation matrix, $\mathbf{R}$ is insensitive to linear transformations of the data matrix $\mathbf{X}$. Both the eigenvalues and eigenvectors of $\mathbf{X}$ are equal to the eigenvalues and eigenvectors of $a\mathbf{X} + b$ for all values of $0 < a$ and $-\infty < b <\infty$. – Alexis Apr 25 '14 at 22:34