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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>.

Version:1.0.4
Depends:R (≥ 3.4.0)
Imports:dbscan,ggplot2,pracma
Suggests:knitr,rmarkdown,OutliersO3,FNN
Published:2022-08-25
DOI:10.32614/CRAN.package.dobin
Author:Sevvandi KandanaarachchiORCID iD [aut, cre]
Maintainer:Sevvandi Kandanaarachchi <sevvandik at gmail.com>
License:MIT + fileLICENSE
URL:https://sevvandi.github.io/dobin/
NeedsCompilation:no
In views:AnomalyDetection
CRAN checks:dobin results

Documentation:

Reference manual:dobin.html ,dobin.pdf
Vignettes:Introduction to dobin (source,R code)

Downloads:

Package source: dobin_1.0.4.tar.gz
Windows binaries: r-devel:dobin_1.0.4.zip, r-release:dobin_1.0.4.zip, r-oldrel:dobin_1.0.4.zip
macOS binaries: r-release (arm64):dobin_1.0.4.tgz, r-oldrel (arm64):dobin_1.0.4.tgz, r-release (x86_64):dobin_1.0.4.tgz, r-oldrel (x86_64):dobin_1.0.4.tgz
Old sources: dobin archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=dobinto link to this page.


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