Outlier Detection Algorithms

Algorithms that find the few observations in a data set that do not fit the pattern of the rest, such as faulty readings or fraud. The local outlier factor compares how densely packed an item's neighbourhood is with the neighbourhoods of its neighbours, and the isolation forest isolates unusual items quickly by cutting the data at random using many trees, so that outliers need fewer cuts than ordinary points.