A LocalOutlierFactor object stores a Local Outlier Factor (LOF) model fitted to a set of observations, and detects anomalies among those or new observations through the isanomaly method. Create a model with the lof function rather than by calling this constructor directly.

The LOF of an observation compares its local density with the local density of its neighbors; a value near 1 indicates an inlier, whereas a value well above 1 indicates an outlier that lies in a sparser region than its neighbors.

See also: lof, isanomaly

Source Code: LocalOutlierFactor