R Parallel Implementation of Local Outlier Factor(LOF)

Share:

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.

Details

Package: Rlof
Version: 1.1.0
Date: 2015-09-10
Depends: R (>= 2.14.0), doParallel, foreach
License: GPL (>= 2)
URL: http://CRAN.R-project.org/package=Rlof
What's new: i) a new optional parameter provided to specify the number of cores used for parallel computing
ii) support of Windows system

Author(s)

Yingsong Hu <yingsonghu@hotmail.com>, Wayne Murray and Yin Shan, Australia.

Maintainer: Yingsong Hu <yingsonghu@hotmail.com>

Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker.