| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| CIFAR-10 (test) | SMERA-MVC | ARI1 | 224 | 1mo ago | |
| STL-10 (test) | Accuracy99.2 | 177 | 1mo ago | ||
| MNIST (test) | CoHiClust | NMI0.97 | 154 | 1mo ago | |
| LandUse-21 | HERL | Accuracy33.12 | 126 | 1mo ago | |
| CIFAR-100 (test) | TURTLE | ACC89.1 | 123 | 4mo ago | |
| Multi-Fashion | HSACC | Accuracy98 | 119 | 1mo ago | |
| Random datasets Uniform distribution on the unit interval in R^d (test) | K-Means | Runtime (s)0 | 117 | 3mo ago | |
| Fashion-MNIST | IPBC | NMI80 | 115 | 16d ago | |
| MNIST | IIC (2019) | NMI0.978 | 113 | 3mo ago | |
| ImageNet Dogs | TAC | NMI8,060 | 105 | 2mo ago | |
| USPS | NMI96.9 | 104 | 3mo ago | ||
| Scene-15 | HERL | Accuracy50.33 | 103 | 1mo ago | |
| ImageNet-10 (test) | LAIC framework | NMI0.996 | 101 | 1mo ago | |
| CUB V=2, K=10 (test) | CRAFT | Accuracy (ACC)82.35 | 100 | 1mo ago | |
| MNIST (full) | DynAE | Accuracy98.7 | 98 | 4mo ago | |
| CIFAR100 20 | ProPos | ACC61.4 | 93 | 4mo ago | |
| DHA | MVCAN | Accuracy84.8 | 91 | 4mo ago | |
| Pubmed | CAT-I-SC | Accuracy82.86 | 83 | 1mo ago | |
| CLSClusteringS2S | DrICL | Accuracy89 | 68 | 4mo ago | |
| CIFAR-100-20 (test) | Accuracy89.5 | 68 | 4mo ago | ||
| STL-10 | PRCut* | ACC99.8 | 64 | 1mo ago | |
| HandWritten | HERL | Accuracy94.94 | 63 | 1mo ago | |
| COL2 | KSKM_E | Clustering Inertia (KSKM multiple)0.98 | 60 | 3mo ago | |
| MNIST | CSC | Clustering Accuracy72.16 | 60 | 4mo ago | |
| HandWritten V=6, K=10 | CRAFT | Clustering Accuracy97.6 | 55 | 1mo ago |
