Clustering
Ensemble Clustering
Introduced by Li et al. in Ensemble Learning for Spectral ClusteringEnsemble clustering, also called consensus clustering, has been attracting much attention in recent years, aiming to combine multiple base clustering algorithms into a better and more consensus clustering. Due to its good performance, ensemble clustering plays a vital role in many research areas, such as community detection and bioinformatics.
Source: Ensemble Learning for Spectral Clustering
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Clustering | 12 | 50.00% |
| Electroencephalogram (EEG) | 1 | 4.17% |
| Deep Clustering | 1 | 4.17% |
| Image Clustering | 1 | 4.17% |
| Ensemble Learning | 1 | 4.17% |
| Image/Document Clustering | 1 | 4.17% |
| Dialogue Act Classification | 1 | 4.17% |
| Emotional Dialogue Acts | 1 | 4.17% |
| Emotion Classification | 1 | 4.17% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
