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.


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Reference manual

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install.packages("Rlof")

1.1.2 by Yingsong Hu, 5 months ago


Browse source code at https://github.com/cran/Rlof


Authors: Yingsong Hu , Wayne Murray and Yin Shan , Australia.


Documentation:   PDF Manual  


GPL (>= 2) license


Depends on doParallel, foreach


Suggested by BiodiversityR.


See at CRAN