Explainable Unsupervised Anomaly Detection with Random Forest

Joshua S. Harvey, Joshua Rosaler, Mingshu Li +2

We describe the use of an unsupervised Random Forest for similarity learning and improved unsupervised anomaly detection. By training a Random Forest to discriminate between real d…