Package: Rlof 1.1.3
Yingsong Hu
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.
Authors:
Rlof_1.1.3.tar.gz
Rlof_1.1.3.tar.gz(r-4.5-noble)Rlof_1.1.3.tar.gz(r-4.4-noble)
Rlof_1.1.3.tgz(r-4.4-emscripten)Rlof_1.1.3.tgz(r-4.3-emscripten)
Rlof.pdf |Rlof.html✨
Rlof/json (API)
| # Install 'Rlof' in R: |
| install.packages('Rlof', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:b95af2984a. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 03 2024 |
| R-4.5-linux-x86_64 | OK | Nov 03 2024 |
Dependencies:codetoolsdoParallelforeachiterators
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| R Parallel Implementation of Local Outlier Factor(LOF) | Rlof-package Rlof |
| Distance Matrix Computation with multi-threads | distmc |
| Local Outlier Factor | lof |
