Describe the issue linked to the documentation

I was reading the user guide about clustering (https://scikit-learn.org/stable/modules/clustering.html). There is a table listing features of every clustering algorithm (how it handles different geometries, different pros/cons etc). BIRCH lists outlier removal, DBSCAN doesn't.

I have a limited understanding of the two algorithms so I hope I'm not wasting everyone's time, but shouldn't this be switched? I believe DBSCAN naturally supports outlier removal and I couldn't find anything in the rest of the documentation to suggest BIRCH supports outlier removal.

Suggest a potential alternative/fix

Add outlier removal as a feature to DBSCAN in the table and remove it in BIRCH's entry.