Hybrid Hard–Soft Clustering For Outlier Detection: Development of the HS-COS Framework
Outlier detection is essential for maintaining the robustness of data-driven models in fields such as healthcare and ecommerce. However, existing clustering-based techniques, such as K-Means, Fuzzy C-Means (FCM), and Possibilistic C-Means (PCM), only capture an aspect of anomaly behavior, such as…
