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

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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.

Author
Yingsong Hu, Wayne Murray and Yin Shan, Australia.
Date of publication
2015-09-17 07:51:00
Maintainer
Yingsong Hu <yingsonghu@hotmail.com>
License
GPL (>= 2)
Version
1.1.1

View on CRAN

Man pages

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

Files in this package

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