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I have a dataset with 5 questions, which are scaled 1-10 and income variable, which is nominal.

  • Should I standardise all variables with min/max scaler, or convert income to 1-10 scale?
  • What is the general rule for dealing with different scales if I want to use hierarchical or kmeans algo?
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  • $\begingroup$ Please edit the question to limit it to a specific problem with enough detail to identify an adequate answer. $\endgroup$
    – Community Bot
    Nov 17 '21 at 18:23
  • $\begingroup$ I think there is more information about your problem. But, in the case of k-means, disregarding the income variable, since the answers follow an order scale, you can run the algorithm normally. There are versions of k-means that use ​​nominal variables as well. $\endgroup$ Nov 17 '21 at 20:27
  • $\begingroup$ Thanks, I am just hesitating on which way to go: make all vafiables in scale (0,1) or use all categorical. $\endgroup$
    – Jenny
    Nov 18 '21 at 13:17

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