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.
- Yingsong Hu, Wayne Murray and Yin Shan, Australia.
- Date of publication
- 2015-09-17 07:51:00
- Yingsong Hu <email@example.com>
- GPL (>= 2)
- Distance Matrix Computation with multi-threads
- Local Outlier Factor
- R Parallel Implementation of Local Outlier Factor(LOF)
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