Coming soon: We’re working on a brand new, revamped Community experience. Want to receive updates? Sign up now!

0 votes
I was able to convert feature from numerical to categorical and choose impact testing from drop list in supervised modeling. Am I able to do the same in clustering? More precisely, I am using k-means from quick models in LAB from 1 data set. In the dropdown list I have 4 options, I am not sure which one to use.


Thank you so much,


1 Answer

0 votes

Hi Marija,

impact-coding (or target encoding) refers to a preprocessing method where the categorical feature in question is encoded by using the target variable. A little more info here:

As you can see, in the context of clustering (unsupervised learning) where no target variable is known, this preprocessing option is not available in DSS. 

I hope this helps!

1,337 questions
1,362 answers
11,912 users

©Dataiku 2012-2018 - Privacy Policy