Clustering on MTEB BioRxiv S2S
33.99V1 ScoreK-means HD
Evaluation Results
| Method | Links | |
|---|---|---|
| K-means HDEmbedding=High-dimensional (HD), Algorithm=K-means2026.03 | 33.99 | |
| Ours LDk=20, Neighborhood Graph=Incremental, Embedding=Low-dimensional (LD), Algorithm=Spectral Clustering2026.03 | 31.52 | |
| Ours LDk=15, Neighborhood Graph=Incremental, Embedding=Low-dimensional (LD), Algorithm=Spectral Clustering2026.03 | 31.22 | |
| k-NN LDk=20, Neighborhood Graph=Standard k-NN, Embedding=Low-dimensional (LD), Algorithm=Spectral Clustering2026.03 | 31.18 | |
| Ours LDk=10, Neighborhood Graph=Incremental, Embedding=Low-dimensional (LD), Algorithm=Spectral Clustering2026.03 | 30.74 | |
| k-NN LDk=15, Neighborhood Graph=Standard k-NN, Embedding=Low-dimensional (LD), Algorithm=Spectral Clustering2026.03 | 30.47 | |
| Ours LDk=8, Neighborhood Graph=Incremental, Embedding=Low-dimensional (LD), Algorithm=Spectral Clustering2026.03 | 30.22 | |
| k-NN LDk=8, Neighborhood Graph=Standard k-NN, Embedding=Low-dimensional (LD), Algorithm=Spectral Clustering2026.03 | 30.14 | |
| k-NN LDk=10, Neighborhood Graph=Standard k-NN, Embedding=Low-dimensional (LD), Algorithm=Spectral Clustering2026.03 | 30.14 | |
| Ours LDk=6, Neighborhood Graph=Incremental, Embedding=Low-dimensional (LD), Algorithm=Spectral Clustering2026.03 | 29.7 | |
| k-NN LDk=6, Neighborhood Graph=Standard k-NN, Embedding=Low-dimensional (LD), Algorithm=Spectral Clustering2026.03 | 29.03 | |
| Ours LDk=3, Neighborhood Graph=Incremental, Embedding=Low-dimensional (LD), Algorithm=Spectral Clustering2026.03 | 28.23 | |
| k-NN LDk=3, Neighborhood Graph=Standard k-NN, Embedding=Low-dimensional (LD), Algorithm=Spectral Clustering2026.03 | 26.43 | |
| Ours LDk=2, Neighborhood Graph=Incremental, Embedding=Low-dimensional (LD), Algorithm=Spectral Clustering2026.03 | 26.23 | |
| Ours LDk=1, Neighborhood Graph=Incremental, Embedding=Low-dimensional (LD), Algorithm=Spectral Clustering2026.03 | 18.85 | |
| k-NN LDk=2, Neighborhood Graph=Standard k-NN, Embedding=Low-dimensional (LD), Algorithm=Spectral Clustering2026.03 | 12.91 | |
| k-NN LDk=1, Neighborhood Graph=Standard k-NN, Embedding=Low-dimensional (LD), Algorithm=Spectral Clustering2026.03 | 3.24 |