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: 1.1.2
Depends: R (≥ 2.14.0), doParallel, foreach
Published: 2020-07-02
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_1.1.2.tar.gz
Windows binaries: r-devel: Rlof_1.1.2.zip, r-devel-UCRT: Rlof_1.1.2.zip, r-release: Rlof_1.1.2.zip, r-oldrel: Rlof_1.1.2.zip
macOS binaries: r-release (arm64): Rlof_1.1.2.tgz, r-release (x86_64): Rlof_1.1.2.tgz, r-oldrel: Rlof_1.1.2.tgz
Old sources: Rlof archive

Reverse dependencies:

Reverse suggests: BiodiversityR

Linking:

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