Techtalks: Traveltech

Yes, it’s definitely possible—especially if you're using labeled data to validate or evaluate unsupervised models. Techniques like clustering can help identify hidden structures even when labels are present, and later you can compare results against known outcomes. It’s not traditional, but it can surface patterns and anomalies you might otherwise overlook in a purely supervised setup.