I am trying to find sum of absolute differences of each row. So if the input matrix A is M x N, the output matrix B should be M x M and
B( i , j ) = sum(abs( A ( i , : ) - A ( j , : ))). For small matrices the below two codes work.
The problem is that A is a tall matrix with dimension M larger than N. Thus, I cannot apply neither of these two methods on it. For the first code, it doesn't allow me to give the first inputs of repelem and repmat commands something different than 1. For the second code, taking the transpose fails for the tall array (is that forbidden totally for tall arrays or is there a workaround?) . Can someone please help me on this? I would appreciate if it would be a vectorized code.
Thanks in advance.