A Synergy Scoring Filter for Unsupervised Anomaly Detection with Noisy Data

Chengming Liu, Fengjie Wang, Lei Shi +1

Noise-inclusive fully unsupervised anomaly detection (FUAD) holds significant practical relevance. Although various methods exist to address this problem, they are limited in both…