Large-scale Robust Enhanced Ensemble Clustering via Outlier Decoupling
Ensemble clustering aims to derive a consensus partition from multiple base clustering results. Anchor-based methods construct compact similarity representations via anchors, substantially improving computational efficiency. However, when outliers contaminate the data, reconstructing the base cluste