I have read many articles and resources about using feature scaling and when to use it, in particular two answers on this website as well-
When should I apply feature scaling for my data?
What algorithms need feature scaling, beside from SVM?
But all answers focus on using feature scaling on supervised algorithms.
My question is - Should I use feature scaling in unsupervised algorithms (like clustering) as well? Or, feature scaling makes no sense in unsupervised problems? Or, feature scaling has no effect in unsupervised problems?