- #1
TheOldHag
- 44
- 3
I'm studying low rank approximation by way of SVD and I'm having trouble understanding how the result matrix has lower rank. For instance, in the link the calculation performed on page 11 resulting in the so-called low rank approximation on page 12. This matrix on page 12 doesn't appear to me to be of rank 2 as one would think. I would expect only 2 linearly independent row vector. When I put it back into a calculator it is still rank 9.
http://lsa.colorado.edu/papers/dp1.LSAintro.pdf
http://lsa.colorado.edu/papers/dp1.LSAintro.pdf