I have a set of data in matrix form and I am trying to identify the redundancies in the system. In other words, I'm trying to find how many linearly dependepnt columns I have.
X is a matrix of data (e.g 10 colums of 100 rows)
[U,S,V] = svd(X)
The output S matrix will consist of a matrix of decreasing order in the diagonal. The number of values equal or close to 0 indicates the number of redundancies. However, this does not tell me which are the redundancies. Is there a way from the U, S or V matrices can I identify which columns are linearly dependent on the other?