In what scenarios might DBSCAN be a less appropriate clustering algorithm compared to others?

DBSCAN might be less suitable when clusters have different densities, as the same Epsilon and MinPts parameters apply to all clusters. This can lead to difficulty in capturing clusters with widely varying densities, making other clustering methods that can adapt to varying density clusters potentially more appropriate in such scenarios.