A common rule of thumb is number of clusters = sqrt(number of items/2) http://www.ijarcsms.com/docs/paper/volume1/issue6/V1I6-0015.pdf
On Wed, 26 Jun 2019 at 12:32, lampahome <pahome.c...@mirlab.org> wrote: > I see many ways like elbow method, silhouette score, they all define the > cluster number after clustering. > > Especially the elbow method, I need to monitor the relation with cluster > number and find the elbow. > > But if the dataset is too huge to let me find the elbow and I don't even > how many cluster number actually. > > Any way to pre-calculate number of cluster roughly? > > thx > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn >
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