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.
| Version: | 1.0.0 |
| Depends: | R (≥ 2.12.0), doMC, foreach |
| Published: | 2011-10-08 |
| Author: | Yingsong Hu, Wayne Murray and Yin Shan with Strategic Data Mining Team, Department of Human Services, Australian. |
| Maintainer: | Yingsong Hu <yingsonghu at hotmail.com> |
| License: | GPL (≥ 2) |
| CRAN checks: | Rlof results |
| Package source: | Rlof_1.0.0.tar.gz |
| MacOS X binary: | Rlof_1.0.0.tgz |
| Windows binary: | not available, see ReadMe. |
| Reference manual: | Rlof.pdf |