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.
|Depends:||R (>= 2.14.0), doParallel, foreach|
|License:||GPL (>= 2)|
|What's new:||i) a new optional parameter provided to specify the number of cores used for parallel computing|
|ii) support of Windows system|
Yingsong Hu <firstname.lastname@example.org>, Wayne Murray and Yin Shan, Australia.
Maintainer: Yingsong Hu <email@example.com>
Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker.