sevvandi/dobin: Dimension Reduction for Outlier Detection
A dimension reduction technique for outlier detection. DOBIN: a Distance based Outlier BasIs using Neighbours, constructs a set of basis vectors for outlier detection. This is not an outlier detection method; rather it is a pre-processing method for outlier detection. It brings outliers to the fore-front using fewer basis vectors (Kandanaarachchi, Hyndman 2020) <doi:10.1080/10618600.2020.1807353>.
Getting started
Browse package contents
Package details |
|
|---|---|
| Maintainer | Sevvandi Kandanaarachchi <sevvandik@gmail.com> |
| License | MIT + file LICENSE |
| Version | 1.0.4 |
| URL | https://sevvandi.github.io/dobin/ |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
|
