Rlof: R Parallel Implementation of Local Outlier Factor(LOF)
Version 1.1.1

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.

AuthorYingsong Hu, Wayne Murray and Yin Shan, Australia.
Date of publication2015-09-17 07:51:00
MaintainerYingsong Hu <yingsonghu@hotmail.com>
LicenseGPL (>= 2)
Version1.1.1
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("Rlof")

Getting started

Package overview

Popular man pages

distmc: Distance Matrix Computation with multi-threads
lof: Local Outlier Factor
Rlof-package: R Parallel Implementation of Local Outlier Factor(LOF)
See all...

All man pages Function index File listing

Man pages

distmc: Distance Matrix Computation with multi-threads
lof: Local Outlier Factor
Rlof-package: R Parallel Implementation of Local Outlier Factor(LOF)

Functions

Files

src
src/Makevars
src/distance.c
src/distance.h
NAMESPACE
R
R/Rlof.R
MD5
DESCRIPTION
man
man/lof.Rd
man/Rlof-package.Rd
man/distmc.Rd
Rlof documentation built on May 19, 2017, 6:49 p.m.

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