The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Flexible procedures to compute local density-based outlier scores for ranking outliers. Both exact and approximate nearest neighbor search can be implemented, while also accommodating multiple neighborhood sizes and four different local density-based methods. It allows for referencing a random subsample of the input data or a user specified reference data set to compute outlier scores against, so both unsupervised and semi-supervised outlier detection can be implemented.
| Version: | 0.1.2 |
| Depends: | R (≥ 3.2.0) |
| Imports: | stats, RANN, mnormt |
| Published: | 2017-05-26 |
| DOI: | 10.32614/CRAN.package.ldbod |
| Author: | Kristopher Williams |
| Maintainer: | Kristopher Williams <kristopher.williams83 at gmail.com> |
| License: | GPL-3 |
| URL: | https://github.com/kwilliams83/ldbod |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | ldbod results |
| Reference manual: | ldbod.pdf |
| Package source: | ldbod_0.1.2.tar.gz |
| Windows binaries: | r-devel: ldbod_0.1.2.zip, r-release: ldbod_0.1.2.zip, r-oldrel: ldbod_0.1.2.zip |
| macOS binaries: | r-release (arm64): ldbod_0.1.2.tgz, r-oldrel (arm64): ldbod_0.1.2.tgz, r-release (x86_64): ldbod_0.1.2.tgz, r-oldrel (x86_64): ldbod_0.1.2.tgz |
| Old sources: | ldbod archive |
Please use the canonical form https://CRAN.R-project.org/package=ldbod to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.