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Rlof: R Parallel Implementation of Local Outlier Factor(LOF)

R parallel implementation of Local Outlier Factor(LOF) which uses multiple CPUs to significantly speed up the LOF computation for large datasets. (Note: The overall performance depends on the computers especially the number of the cores).It also supports multiple k values to be calculated in parallel, as well as various distance measures in addition to the default Euclidean distance.

Version: 1.1.3
Depends: R (≥ 2.14.0), doParallel, foreach
Published: 2022-10-16
DOI: 10.32614/CRAN.package.Rlof
Author: Yingsong Hu, Wayne Murray and Yin Shan, Australia.
Maintainer: Yingsong Hu <yingsonghu at hotmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: Rlof results

Documentation:

Reference manual: Rlof.pdf

Downloads:

Package source: Rlof_1.1.3.tar.gz
Windows binaries: r-devel: Rlof_1.1.3.zip, r-release: Rlof_1.1.3.zip, r-oldrel: Rlof_1.1.3.zip
macOS binaries: r-release (arm64): Rlof_1.1.3.tgz, r-oldrel (arm64): Rlof_1.1.3.tgz, r-release (x86_64): Rlof_1.1.3.tgz, r-oldrel (x86_64): Rlof_1.1.3.tgz
Old sources: Rlof archive

Reverse dependencies:

Reverse suggests: BiodiversityR

Linking:

Please use the canonical form https://CRAN.R-project.org/package=Rlof 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.
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