Hey.
This is a method that's relatively easy to implement if someone wants to
use it
(as witnessed by the shortness of your notebook). It's hard to make it
work robustly,
though, and we have several cluster evaluation measures in sklearn already.
I would be more interested in see some stability based evaluation.
You might also be interested in this:
https://github.com/scikit-learn/scikit-learn/pull/6948
Cheers,
Andy
On 10/30/18 6:17 PM, Maiia Bakhova wrote:
Hello everybody!
I would like to offer a new feature for consideration.
Here is my presentation:
https://github.com/Mathemilda/ElbowMethodForK-means/blob/master/Elbow_Method_for_K-Means_Clustering.ipynb
Thanks for your time! If the feature is to be accepted, can you please
tell me what are conventions if any for such function and if there is
a template or other helpful material.
Best regards,
Maiia Bakhova
---------------------
Mathematician in Data Science <http://myabakhova.blogspot.com/>
https://www.linkedin.com/in/myabakhova
_______________________________________________
scikit-learn mailing list
scikit-learn@python.org
https://mail.python.org/mailman/listinfo/scikit-learn
_______________________________________________
scikit-learn mailing list
scikit-learn@python.org
https://mail.python.org/mailman/listinfo/scikit-learn
