DBSCAN

DBSCAN groups points that sit close together and flags the stragglers as outliers, with no need to say upfront how many groups to expect. We tried it to spot label errors inside a class, but it threw out too many good crops shot at odd angles.

For engineers: density-based clustering; used here for within-class outlier detection, with a false-positive rate too high on retail crops.