rrcf: Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams

  • Bartos M
  • Mullapudi A
  • Troutman S
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Abstract

… Consider two clusters consisting of 1000 points each distributed according to xi ∼ N([5 0 0]T , 0.01 · I) for the first class and xi ∼ N([−5 0 0]T , 0.01 · I) for the second class. Add to this …

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Bartos, M., Mullapudi, A., & Troutman, S. (2019). rrcf: Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams. Journal of Open Source Software, 4(35), 1336. https://doi.org/10.21105/joss.01336

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