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.

Package details

AuthorYingsong Hu, Wayne Murray and Yin Shan, Australia.
MaintainerYingsong Hu <yingsonghu@hotmail.com>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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Rlof documentation built on May 2, 2019, 6:50 a.m.