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.
| Version: |
1.1.2 |
| Depends: |
R (≥ 2.14.0), doParallel, foreach |
| Published: |
2020-07-02 |
| 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)] |
| NeedsCompilation: |
yes |
| CRAN checks: |
Rlof results |
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