U-SPEC

Reported on 3 benchmarks across 1 task · 2 papers · 4 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Miscellaneous5 results

Image/Document Clusteringonpendigits
Accuracy (%)· 2021-04-30
81.68
best: 82.27 (DnC-SC)
SOTA
Divide-and-conquer based Large-Scale Spectral Clustering arXiv:2104.15042
Image/Document Clusteringonpendigits
NMI· 2021-04-30
81.68
best: 82.86 (DnC-SC)
SOTA
Divide-and-conquer based Large-Scale Spectral Clustering arXiv:2104.15042
Image/Document Clusteringonpendigits
runtime (s)· 2021-04-30
2.07
best: 3.08 (LBDM)
SOTA
Divide-and-conquer based Large-Scale Spectral Clustering arXiv:2104.15042
Image/Document Clusteringonpendigits
NMI· 2019-03-04
0.803
best: 82.86 (DnC-SC)
SOTA
Ultra-Scalable Spectral Clustering and Ensemble Clustering arXiv:1903.01057
Image/Document Clusteringonpendigits
runtime (s)· 2019-03-04
1.01
best: 3.08 (LBDM)
Ultra-Scalable Spectral Clustering and Ensemble Clustering arXiv:1903.01057