Describe the feature or idea you want to propose

Both classification and regression have dummy estimators based on the scikit-learn versions i.e. https://scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyClassifier.html.

It would be good if clustering had a version as well. There is not a scikit-learn version for clustering I think, so you anyone who does this may have to get creative with the options.

Describe your proposed solution

Implement a DummyClusterer estimator in the style of the already available classifier and regressor. This should include some options to benchmark against i.e. random clusters.

Describe alternatives you've considered, if relevant

No response

Additional context

No response