CRAN/E | dobin

dobin

Dimension Reduction for Outlier Detection

Installation

About

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.

sevvandi.github.io/dobin/

Key Metrics

Version 1.0.4
R ≥ 3.4.0
Published 2022-08-25 616 days ago
Needs compilation? no
License MIT
License File
CRAN checks dobin results

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Maintainer

Maintainer

Sevvandi Kandanaarachchi

sevvandik@gmail.com

Authors

Sevvandi Kandanaarachchi

aut / cre

Material

Reference manual
Package source

Vignettes

Introduction to dobin

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

dobin archive

Depends

R ≥ 3.4.0

Imports

dbscan
ggplot2
pracma

Suggests

knitr
rmarkdown
OutliersO3
FNN

Reverse Imports

composits