What is better PCA or SVD

[samajkapoor]

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?

[axytho]

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