I have a dataset of 256 rows with 61 columns/variables. Each row should be considered a vector of dimension 61. If I randomly split it, by rows, in 2 groups, how could I prove that the 2 groups are similar? The origin of the data is biomedical and nonlinear approaches should be preferable.
Group similarity by high dimension vector comparison
similarity