Zelazny7/isofor: Isolation Forest Anomaly Detection
Version 0.1.3

One efficient way of performing outlier detection in high-dimensional datasets is to use random forests. The isofor ‘isolates’ observations by randomly selecting a feature and then randomly selecting a split value between the maximum and minimum values of the selected feature.

Getting started

Package details

Maintainer
LicenseMIT + file LICENSE
Version0.1.3
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("Zelazny7/isofor")
Zelazny7/isofor documentation built on Oct. 30, 2017, 8:33 p.m.