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If I understand them correctly, they are both trying to reduce the rank of a matrix, so that we are left with a reduced amount of features which capture most of the information in our dataset. So do they have any difference in the results they give?

This is a machine learning question, and while it could be answered here, I recommend reposting your question on StackOverflow.