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Deep Clustering on USPS (SC, RRL)

0.935SCDCEC
0.126920.336710.54650.75629Jan 2, 2026

Evaluation results

MethodLinks
DCECselection_criterion=Per-method best SC, architecture=Best across architectures2026.010.935-5.3
DCECselection_criterion=Best RRL while SC is within 10% of the best SC of the method2026.010.929-26.3
DCAMselection_criterion=Best RRL while SC is within 10% of the best SC of the method2026.010.9148.7
DCAMselection_criterion=Per-method best SC, architecture=Best across architectures2026.010.8918.7
DEKMselection_criterion=Best RRL while SC is within 10% of the best SC of the method2026.010.8432,326
EDCselection_criterion=Best RRL while SC is within 10% of the best SC of the method2026.010.49140
EDCselection_criterion=Per-method best SC, architecture=Best across architectures2026.010.4610
DEKMselection_criterion=Per-method best SC, architecture=Best across architectures2026.010.2174.3
k-meansselection_criterion=Per-method best SC, architecture=Best across architectures2026.010.195—
k-meansselection_criterion=Best RRL while SC is within 10% of the best SC of the method2026.010.195—
ClAMselection_criterion=Per-method best SC, architecture=Best across architectures2026.010.194—
ClAMselection_criterion=Best RRL while SC is within 10% of the best SC of the method2026.010.194—
Agglo.selection_criterion=Per-method best SC, architecture=Best across architectures2026.010.158—
Agglo.selection_criterion=Best RRL while SC is within 10% of the best SC of the method2026.010.158—