Rlof (1.1.1)

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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.

Maintainer: Yingsong Hu
Author(s): Yingsong Hu, Wayne Murray and Yin Shan, Australia.

License: GPL (>= 2)

Uses: doParallel, foreach
Reverse suggests: BiodiversityR

Released about 4 years ago.

2 previous versions



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