pridiltal/stray: Anomaly Detection in High Dimensional and Temporal Data

This is a modification of HDoutliers package. The HDoutliers algorithm is a powerful unsupervised algorithm for detecting anomalies in high-dimensional data, with a strong theoretical foundation. However, it suffers from some limitations that significantly hinder its performance level, under certain circumstances. In this package, we propose an algorithm that addresses these limitations. We define an anomaly as an observation that deviates markedly from the majority with a large distance gap. An approach based on extreme value theory is used for the anomalous threshold calculation.

Getting started

Package details

Maintainer
LicenseGPL-2
Version0.1.0.9000
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("pridiltal/stray")
pridiltal/stray documentation built on Aug. 14, 2019, 2:45 p.m.