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: | 1.1.3 |
| Depends: | R (≥ 2.14.0), doParallel, foreach |
| Published: | 2022-10-16 |
| DOI: | 10.32614/CRAN.package.Rlof |
| 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 |
| In views: | AnomalyDetection |
| CRAN checks: | Rlof results |
| Reference manual: | Rlof.html , Rlof.pdf |
| Package source: | Rlof_1.1.3.tar.gz |
| Windows binaries: | r-devel: Rlof_1.1.3.zip, r-release: Rlof_1.1.3.zip, r-oldrel: Rlof_1.1.3.zip |
| macOS binaries: | r-release (arm64): Rlof_1.1.3.tgz, r-oldrel (arm64): Rlof_1.1.3.tgz, r-release (x86_64): Rlof_1.1.3.tgz, r-oldrel (x86_64): Rlof_1.1.3.tgz |
| Old sources: | Rlof archive |
| Reverse suggests: | BiodiversityR |
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