2
$\begingroup$

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 ?

Thank you for your help.

$\endgroup$
  • $\begingroup$ Depends on what you mean by scale, but that sounds like the answer to your question. What else are you looking for? $\endgroup$ – Sean Owen Apr 25 '15 at 19:57
3
$\begingroup$

There is pretty much mess in terminology in your question :). Data Regularization is used for model selection, it is not about data processing. Here it is described in more friendly manner.

What you mean is Feature Scaling. It can be done in several ways including Rescaling, the method you described. You may also use Standardization (normalization) and Scaling to unit length.

These answers may be helpful:

| improve this answer | |
$\endgroup$

Not the answer you're looking for? Browse other questions tagged or ask your own question.