Isolation-based Spherical Ensemble Representations for Tabular Anomaly Detection
This work proposes ISER (Isolation-based Spherical Ensemble Representations) that extends existing isolation-based methods by using hypersphere radii as a monotonic transformation of local density characteristics while maintaining linear time and constant space complexity w.r.t. the dataset size.