Clustering Categorical Data with Limited Range

Dear All,

I've been recently been implementing some k-modes/k-medoids type procedures in R, such as k-prototypes, and the daisy package.

The output is fine. Yet, I wondered if anyone was aware of clustering packages for categorical data where the range of data is small such as [1,2,3].

My suspicion with such limited range is that the mode/medoid might not discriminate as accurately as possible. However, this is just a speculative question.

Would love to hear some thoughts.

This topic was automatically closed 21 days after the last reply. New replies are no longer allowed.

If you have a query related to it or one of the replies, start a new topic and refer back with a link.