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an urgent question about PCA on image!

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Why this algorithm can not recover completely the images that are out of training samples ??? I mean ,if this method can only recover the images in the training examples perfectly,but those new test samples for which there will be a great loss on information even if you've selected all of the eigenvectors??

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