Tell me more ×
Computational Science Stack Exchange is a question and answer site for scientists using computers to solve scientific problems. It's 100% free, no registration required.
up vote 1 down vote favorite

I'm trying to evaluate what is the right number of cluster needed for clusterize some data.

I know that this is possible using Davies–Bouldin Index (DBI).

To using DBI you have to compute it for any number of cluster and the one that minimize the DBI corresponds to the right number of cluster needed.

The question is:

how to know if 2 clusters are better than 1 cluster using DBI? So, how can I compute DBI when I have just 1 cluster?

share|improve this question

Know someone who can answer? Share a link to this question via email, Google+, Twitter, or Facebook.

Your Answer

 
discard

By posting your answer, you agree to the privacy policy and terms of service.

Browse other questions tagged or ask your own question.