Short Text Clustering on GoogleNews S
83.1ACCSCCL
Evaluation results
| Method | Links | ||
|---|---|---|---|
| SCCLAveraging=Average over five random runs2021.03 | 83.1 | 90.4 | |
| HAC-SDAlgorithm=Hierarchical Agglomerative Clustering2021.03 | 80.6 | 83.5 | |
| RSTC2023.05 | 79.32 | 89.4 | |
| K-means_IC2023.05 | 74.48 | 88.53 | |
| SCCL2023.05 | 73.44 | 87.98 | |
| RSTC-Icontrastive learning=instance-wise, clustering=k-means2023.05 | 66.22 | 86.93 | |
| RSTC-Ccontrastive learning=class-wise, pseudo-labels=SAOT2023.05 | 65.05 | 83.88 | |
| TF-IDF2023.05 | 62.3 | 83 | |
| TF-IDFFeature dimension=1500, Algorithm=K-means2021.03 | 61.9 | 83 | |
| RSTC-OTpseudo-labels=traditional OT2023.05 | 59.48 | 81.21 | |
| SBERT(k-means)2023.05 | 56.62 | 80.5 | |
| BOW2023.05 | 52.68 | 76.11 | |
| BoWFeature dimension=1500, Algorithm=K-means2021.03 | 49 | 73.5 |