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.

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

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Files

Rlof
Rlof/src
Rlof/src/Makevars
Rlof/src/distance.c
Rlof/src/distance.h
Rlof/NAMESPACE
Rlof/R
Rlof/R/Rlof.R
Rlof/MD5
Rlof/DESCRIPTION
Rlof/man
Rlof/man/lof.Rd Rlof/man/Rlof-package.Rd Rlof/man/distmc.Rd

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