Unsupervised anomaly detection algorithms on real-world data: how many do we need?

1 code implementation • 1 May 2023 • Roel Bouman, Zaharah Bukhsh, Tom Heskes

In this study we evaluate 32 unsupervised anomaly detection algorithms on 52 real-world multivariate tabular datasets, performing the largest comparison of unsupervised anomaly detection algorithms to date.

Unsupervised Anomaly Detection