Rlof

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.

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References in zbMATH (referenced in 2 articles )

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  1. Archimbaud, Aurore: Unsupervised outlier detection in quality control: an overview (2018)
  2. Zhao, Yanchang: R and data mining. Examples and case studies (2013)