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.
||R (≥ 2.14.0), doParallel, foreach
||Yingsong Hu, Wayne Murray and Yin Shan, Australia.
||Yingsong Hu <yingsonghu at hotmail.com>
||GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
Please use the canonical form
to link to this page.