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 Kandanaarachchi | 
| Maintainer: | Sevvandi Kandanaarachchi <sevvandik at gmail.com> | 
| License: | MIT + file LICENSE | 
| URL: | https://sevvandi.github.io/dobin/ | 
| NeedsCompilation: | no | 
| In views: | AnomalyDetection | 
| CRAN checks: | dobin results | 
| Reference manual: | dobin.html , dobin.pdf | 
| Vignettes: | Introduction to dobin (source, R code) | 
| 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 | 
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