Methods › General › Clustering
Clustering
Clustering methods cluster a dataset so that similar datapoints are located in the same group. Below you can find a continuously updating list of clustering methods.
Methods
All 19 methods in this collection, most-tagged first. Year is the archive's introduced_year; the archive stores 2000 when it has none, shown here as “–”. Papers counts distinct papers the archive tags with the method. Click a heading to sort.
| k-Means Clustering | – | 772 |
| Spectral Clustering | – | 517 |
| SOM Self-Organizing Map | – | 106 |
| Coresets | – | 103 |
| Ensemble Clustering | – | 19 |
| FINCH First Integer Neighbor Clustering Hierarchy | – | 10 |
| EoM Excess of Mass | – | 9 |
| Large-scale spectral clustering | – | 4 |
| SCCL Supporting Clustering with Contrastive Learning | – | 4 |
| SCAN-clustering Semantic Clustering by Adopting Nearest Neighbours | – | 3 |
| AUCC Area Under the ROC Curve for Clustering | – | 2 |
| FINCH Clustering First Integer Neighbor Clustering Hierarchy (FINCH)) | – | 2 |
| COP-KMeans Constrained Pairwise k-Means | – | 1 |
| DMAGE Unsupervised Deep Manifold Attributed Graph Embedding | – | 1 |
| IC-SBP Instance Colouring Stick-Breaking Process | – | 1 |
| MPCK-Means Metric Pairwise Constrained KMeans | – | 1 |
| PCKMeans Pairwise Constrained KMeans | – | 1 |
| PRCut Probabilistic Ratio Cut | – | 1 |
| HRI pipeline Human Robot Interaction Pipeline | – | 0 |