[scikit-learn] How to determine suitable cluster algo

lampahome pahome.chen at mirlab.org
Thu Jan 24 04:13:18 EST 2019


I want to do customized clustering algo for my datasets, that's cuz I don't
want to try every algo and its hyperparameters.

I though I just define the default range of import hyperparameters ex:
number of cluster in K-means.

I want to iterate some possible clutering alog like K-means, DBSCAN,
AP...etc, and I choose the suitable algo to cluster for me.

I'm not sure if that is able to do, but does GridSearchCV work for me?

Or any other ways to determine that?

thx
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/scikit-learn/attachments/20190124/66001aa5/attachment.html>


More information about the scikit-learn mailing list