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I have a dataset with differents attributes which don't have the same range on their values which is a problem when we need to compute distance beetween objects. After some research i found that i can do the regularisation job with this formula : (value-min)/(max-min) where min and max are respectively the minimum and maximum value in the domain of val attribute.
The question is that one, does it exist other ways ?