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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.3 |
2026-04-09 windows/windows R-4.5 | Rlof_1.1.3.zip |
152.8 KiB |