Zelazny7/isofor: Isolation Forest Anomaly Detection

Implementation of the Isolation forest method from the paper "Isolation based Anomaly Detection" (Liu, Ting and Zhou <doi:10.1145/2133360.2133363>). An isolation forest measures how easy it is to isolate multivariate observations. Observations that can be isolated with fewer axis-aligned partitions from random decision trees are more likely to be anomalous.

install.packages("remotes")
remotes::install_github("Zelazny7/isofor")