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I have two $2$-column matrixes, one of the has $467$ rows while the other one has $61468$ rows. Both them are trajectory paths of same robot, the big matrix is kind of raw data and the smaller one is filtered data. What's the deal? I have to calculate MSE for these two. How should I make them to have same size? bigger matrix most be smaller by omitting data or I have to add some fake arrays to the smaller matrix to make it bigger?

Off-topic: I have bunch of these matrixes that I have to compare one by one, Does MATLAB or any other app has built in functions for this?

This is an example of my matrixes: (red one is bigger one) enter image description here

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  • $\begingroup$ This question is about MSE. This is better for meta. $\endgroup$ – evil999man May 21 '14 at 10:07
  • $\begingroup$ @Awesome, meta is for question about math.SE not mean square error. This smells more like an A.I or robotics problem rather than a pure math problem. $\endgroup$ – achille hui May 21 '14 at 10:20
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    $\begingroup$ @achillehui Just a light hearted pun. $\endgroup$ – evil999man May 21 '14 at 10:23
  • $\begingroup$ I agree with achille hui, not about the pun but about the nature of this question. I think this question is more suited to a robotics/AI forum --- or even Cross Validated --- than to here. By the way, the answers to your question may be very different if your trajectory data also carry time stamps. $\endgroup$ – user1551 May 21 '14 at 12:33
  • $\begingroup$ There is no timestamp, the only problem is calculating MSE. I fixed size problem. $\endgroup$ – Maysam May 21 '14 at 12:46

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