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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.

Type Size Name Uploaded Downloads Labels
conda 45.1 kB | linux-64/r-rlof-1.1.3-r43h76d94ec_0.tar.bz2  1 year and 1 month ago 22 main
conda 44.8 kB | linux-64/r-rlof-1.1.2-r42h76d94ec_0.tar.bz2  2 years and 7 months ago 47 main
conda 54.1 kB | win-64/r-rlof-1.1.1-r36hda5aaf8_0.tar.bz2  4 years and 11 months ago 86 main
conda 43.1 kB | osx-64/r-rlof-1.1.1-r36h46e59ec_0.tar.bz2  4 years and 11 months ago 16 main
conda 44.9 kB | linux-64/r-rlof-1.1.1-r36h96ca727_0.tar.bz2  4 years and 11 months ago 50 main

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