[scikit-learn] Can I evaluate clustering efficiency incrementally?
g.lemaitre58 at gmail.com
Fri May 3 04:12:09 EDT 2019
You can always predict incrementally by predicting on batches of samples.
On Fri, 3 May 2019 at 10:05, lampahome <pahome.chen at mirlab.org> wrote:
> 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.
> scikit-learn mailing list
> scikit-learn at python.org
INRIA Saclay - Parietal team
Center for Data Science Paris-Saclay
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