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 <firstname.lastname@example.org>|
|License||GPL (>= 2)|