Outlier scoring algorithm using hypervolume-ratio-variance for non-dense data
Anomaly detection is critical in domains such as financial fraud detection, network security, and healthcare, where identifying rare deviations from expected behavior has high practical stakes. Conventional methods, including Local Outlier Factor (LOF), suffer degraded performance on high-dimensional and non-dense data...