  Identification of anomalous light curves within time-domain surveys is often
challenging. In addition, with the growing number of wide-field surveys and the
volume of data produced exceeding astronomers ability for manual evaluation,
outlier and anomaly detection is becoming vital for transient science. We
present an unsupervised method for transient discovery using a clustering
technique and the Astronomaly package. As proof of concept, we evaluate 85553
minute-cadenced light curves collected over two 1.5 hour periods as part of the
Deeper, Wider, Faster program, using two different telescope dithering
strategies. By combining the clustering technique HDBSCAN with the isolation
forest anomaly detection algorithm via the visual interface of Astronomaly, we
are able to rapidly isolate anomalous sources for further analysis. We
successfully recover the known variable sources, across a range of catalogues
from within the fields, and find a further 7 uncatalogued variables and two
stellar flare events, including a rarely observed ultra fast flare (5 minute)
from a likely M-dwarf.
