I was running into a situation in which my input feature experience a very large variation in term of magnitude.
Particularly, consider feature 1 belong to group 1 and feature 2 3 4 belong to group 2,
Like this picture below
I was really worried that in this case feature 1 might dominate feature 2,3,4 (group 2) because its corresponding value is so large (I was trying to train this data set on a neural network).
In this situation, what would be the appropriate scaling strategy ? Update: I know for sure that the value of feature 1 is an integer that is uniform on the interval [22,42] But for feature 2 ,3 ,4 I do not have any insight
Thank you for your enthusiast !