I'm using 'NbClust' package to help me to get the "optimal number of clusters" and I noticed in my dataset I have attributes with different importance.
I have 5 attributes: x1,x2,x3,x4,x5 and I know that the attributes x5 must have the same value in a cluster and the attribute X4 have more importance than X1 and X3.
I'm using Euclidean distance and I normalized the data in order to have values between 0 and 1. I'm also using "One-Hot Encode Data" method in attributes x4 and x5
What should I do in these situations? How can I give more importance to specific attributes?