Hello Andreas, thanks for your reply! Sorry, I did not know about methods. I guess it is a recent development and I should have checked it out. I came up with my idea after advising to students on a Machine Learning Course to compute cosines, and by their reaction the idea is not so easy to code. I google it and found nothing for such implementation. The only mentioning of cosine for clustering is using cosine distance, so called cosine similarity. (I suspect that remembering the cosine formula and how cosine values can be used to compare angle values is difficult for some.) And length of a script is not necessarily is an indication of usefulness. Although if such type of evaluation for optimal cluster number is already covered by other methods then my input might be not needed. I will look up other methods using your link and see if I can contribute here. Best, Mya
-- 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