- given a set of input data - determine if a new input data has outlying samples - takes advantage of the similarities between clusters
- given a set of input data - determine if a new input data has outlying samples - takes advantage of the similarities between clusters
find observations that are unusually different from the others; also known as anomaly detection; may want to remove outliers or be interested in the outliers themselves