Isolation‐based anomaly detection

Source code of Isolation‐based anomaly detection (iNNE).

https://yezhu.com.au/project/anomaly-detection/

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These functions implement an Isolation‐based anomaly detection iNNE, proposed by Bandaragoda, Tharindu R., et al. "Isolation‐based anomaly detection using nearest‐neighbor ensembles" Computational Intelligence (2018). https://onlinelibrary.wiley.com/doi/abs/10.1111/coin.12156

Written by Ye Zhu, Deakin University, Nov 2020, version 1.2

This code was used for the following publication (Bibtex format):

@article{bandaragoda2018isolation,
title={Isolation-based anomaly detection using nearest-neighbor ensembles},
author={Bandaragoda, Tharindu R and Ting, Kai Ming and Albrecht, David and Liu, Fei Tony and Zhu, Ye and Wells, Jonathan R},
journal={Computational Intelligence},
volume={34},
number={4},
pages={968--998},
year={2018},
publisher={Wiley Online Library}
}

Cite As

YE (2026). Isolation‐based anomaly detection (https://github.com/zhuye88/iNNE/releases/tag/v1.2), GitHub. Retrieved .

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General Information

MATLAB Release Compatibility

  • Compatible with any release

Platform Compatibility

  • Windows
  • macOS
  • Linux
Version Published Release Notes Action
1.2

See release notes for this release on GitHub: https://github.com/zhuye88/iNNE/releases/tag/v1.2

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.