[scikit-learn] Can I evaluate clustering efficiency incrementally?

lampahome pahome.chen at mirlab.org
Fri May 3 04:03:05 EDT 2019


I see some algo can cluster incrementally if dataset is too huge ex:
minibatchkmeans and Birch.

But is there any way to evaluate incrementally?

I found silhouette-coefficient and Calinski-Harabaz index because I don't
know the ground truth labels.
But they can't evaluate incrementally.
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/scikit-learn/attachments/20190503/e3286d06/attachment-0001.html>


More information about the scikit-learn mailing list