Would I be able to combine features on a different unit scale after normalizing?
I'd like to explore some interactions between my variables but they're on different measurement scales.
Would for example the absolute value of the difference of them after scaling make sense?
From what I understand having them scaled on a 1-0 range would heavily rely on their max and min values, from this assumption it seems to me that interaction within them would not make sense since their position in their own scale would heavily depend on the observation.
Topic feature-engineering normalization
Category Data Science