1
$\begingroup$

I've been reading up on feature extraction methods - but the ones I have come across all seem to be numerical. To do feature extraction on a mixed numerical/ categorical dataset are there techniques designed for that? or do you work on categorical/ numerical variables separately?

Improve this question
$\endgroup$
1
  • 1
    $\begingroup$ What feature extraction methods do you mean? For instance, I would consider it feature extraction to take a continuous measurement, a categorical measurement, and their interaction (i.e. ANCOVA with an interaction). $\endgroup$
    – Dave
    Aug 18, 2021 at 17:02

1 Answer 1

Reset to default
1
$\begingroup$

Categorical data is usually converted to numerical by generating dummy variables out of it (OneHotEncoder in Python). These variables are then considered in general as numerical variables and can be used in feature extraction measures.

Improve this answer
$\endgroup$

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge that you have read and understand our privacy policy and code of conduct.

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