Ensemble 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 ClusteringPaper | Code | Results | Date | Stars |
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Task | Papers | Share |
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Electroencephalogram (EEG) | 1 | 7.69% |
Deep Clustering | 1 | 7.69% |
Image Clustering | 1 | 7.69% |
Association | 1 | 7.69% |
Ensemble Learning | 1 | 7.69% |
Image/Document Clustering | 1 | 7.69% |
Dialogue Act Classification | 1 | 7.69% |
Emotional Dialogue Acts | 1 | 7.69% |
Emotion Classification | 1 | 7.69% |
Component | Type |
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🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |