Anomaly detection is the process of identifying unexpected items or events in data sets, which differ from the norm. And anomaly detection is often applied on unlabeled data which is known as unsupervised anomaly detection.
Anomaly detection has two basic assumptions: Anomalies only occur very rarely in the data