...
The source code for the above results are available on GitHub: https://github.com/openimis/openimis-ai-research_py/tree/develop/1-data-preparation
References
Campos, G. O., Zimek, A., Sander, J., Campello, R. J., Micenková, B., Schubert, E., ... & Houle, M. E. (2016). On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study. Data mining and knowledge discovery, 30(4), 891-927.
Kandanaarachchi, S., Muñoz, M. A., Hyndman, R. J., & Smith-Miles, K. (2020). On normalization and algorithm selection for unsupervised outlier detection. Data Mining and Knowledge Discovery, 34(2), 309-354.
Rousseeuw, P. J., & Hubert, M. (2018). Anomaly detection by robust statistics. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 8(2), e1236.