A way to spot data points that are far from what is normal.
Outlier detection is a cafeteria monitor with a raised eyebrow. Most kids carry trays. One kid rolls in with a ketchup cart.
You meet it in fraud checks, server alerts, and factory checks. It flags odd cases first, so a person can review them.
Unsupervised Learning
Outlier detection often finds strange samples in data with no labels.
Clustering
Clustering helps find points far from the group.
DBSCAN
DBSCAN marks lonely low-density points as noise.
AI Anti-Cheat
AI Anti-Cheat uses outlier detection to spot suspicious behavior.