Anomaly detection, or outlier detection, is a well-studied and well-formalized machine learning problem. The algorithm detects observations that raise suspicions by differing significantly from the majority of the data. Applications: "Anomaly detection is applicable in a variety of domains, such as intrusion detection, fraud detection, fault detection, system health monitoring, event detection in sensor networks, detecting ecosystem disturbances, and defect detection in image