I have a question about scaling features: If I have a matrix (rows=swimmers, columns=numbers evaluating skills in different disciplines: high numbers = best, low numbers = worst). In this case magnitude is important and when I want to group the most skilled athletes by calculating the euclidean distance between them, I want the best close together so I think feature scaling is wrong in this case. Do you agree ?