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Rlof  

R Parallel Implementation of Local Outlier Factor(LOF)
View on CRAN: Click here


Download and install Rlof package within the R console
Install from CRAN:
install.packages("Rlof")

Install from Github:
library("remotes")
install_github("cran/Rlof")

Install by package version:
library("remotes")
install_version("Rlof", "1.1.3")



Attach the package and use:
library("Rlof")
Maintained by
Yingsong Hu
[Scholar Profile | Author Map]
First Published: 2011-10-08
Latest Update: 2022-10-16
Description:
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.
How to cite:
Yingsong Hu (2011). Rlof: R Parallel Implementation of Local Outlier Factor(LOF). R package version 1.1.3, https://cran.r-project.org/web/packages/Rlof. Accessed 05 May. 2025.
Previous versions and publish date:
1.0.0 (2011-10-08 08:43), 1.1.0 (2015-09-11 07:13), 1.1.1 (2015-09-17 07:51), 1.1.2 (2020-07-02 16:00)
Other packages that cited Rlof R package
View Rlof citation profile
Other R packages that Rlof depends, imports, suggests or enhances
Complete documentation for Rlof
Functions, R codes and Examples using the Rlof R package
Some associated functions: Rlof-package . distmc . lof . 
Some associated R codes: Rlof.R .  Full Rlof package functions and examples
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