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|
|Author:||Yingsong Hu, Wayne Murray and Yin Shan, Australia.|
|Maintainer:||Yingsong Hu <yingsonghu at hotmail.com>|
|License:||GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]|
|CRAN checks:||Rlof results|
|Windows binaries:||r-devel: Rlof_1.1.1.zip, r-release: Rlof_1.1.1.zip, r-oldrel: Rlof_1.1.1.zip|
|OS X Mavericks binaries:||r-release: Rlof_1.1.1.tgz, r-oldrel: Rlof_1.1.1.tgz|
|Old sources:||Rlof archive|
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