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Clustering on Glass

0.51NMILS
0.0420.16350.2850.4065Nov 7, 2025Dec 14, 2025Jan 20, 2026Feb 26, 2026Apr 4, 2026May 11, 2026Jun 17, 2026

Evaluation results

MethodLinks
LSaggregation=averaged over ten runs2026.060.51—
LS2026.060.510.31
HypeGBMS2025.120.4770.281
COP-KMaggregation=averaged over ten runs2026.060.45—
COP-KM2026.060.450.27
KCC#clusters=92025.110.439—
GBMS2025.120.4380.261
KMaggregation=averaged over ten runs2026.060.43—
KM2026.060.430.27
HSFC2025.120.4280.258
QuickMeanShift2025.120.4270.256
C-PAINT#clusters=92025.110.402—
GMMaggregation=averaged over ten runs2026.060.4—
S-KMaggregation=averaged over ten runs2026.060.4—
GMM2026.060.40.25
S-KM2026.060.40.27
TGCC#clusters=92025.110.398—
MDL-GBTRSC2026.050.39390.2207
Aggaggregation=averaged over ten runs2026.060.39—
Agg2026.060.390.26
SC-NR#clusters=92025.110.384—
Spectral#clusters=92025.110.367—
GMS2025.120.3610.187
GMM2025.120.3610.205
SC-kNNAffinity=kNN2026.050.36010.2189
C-KMaggregation=averaged over ten runs2026.060.36—
clustering-by-exclusionaggregation=averaged over ten runs2026.060.36—
C-KM2026.060.360.22
MDMSC2026.050.35950.1651
DBSCAN2025.120.3580.225
k-Means#clusters=92025.110.357—
KPKM#clusters=92025.110.347—
SC-RBFAffinity=RBF2026.050.33190.1705
GMM-SC2026.050.32010.1752
Perception2026.060.320.14
Gridshift2025.120.3140.234
DBSCANaggregation=averaged over ten runs2026.060.31—
DBSCAN2026.060.310.16
BCC#clusters=92025.110.308—
k-means2025.120.3060.168
GBSC2026.050.27960.142
Spectral2025.120.2650.142
Convex#clusters=92025.110.255—
DipNSubaggregation=averaged over ten runs2026.060.24—
DipNSub2026.060.240.17
WBMS2025.120.2380.157
GBCT2026.050.16080.0396
DECaggregation=averaged over ten runs2026.060.14—
DEC2026.060.140.06
DipEncaggregation=averaged over ten runs2026.060.06—
DipEnc2026.060.060.02
FWSAExperiments per dataset=25, Selection criterion=Best ARI from best criterion output2025.08—0.24
k-means++Experiments per dataset=25, Selection criterion=Best ARI from best criterion output2025.08—0.17
KMTDExperiments per dataset=25, Selection criterion=Best ARI from best criterion output2025.08—0.123
LWk-meansExperiments per dataset=25, Selection criterion=Best ARI from best criterion output2025.08—0.141
SHARKExperiments per dataset=25, Selection criterion=Best ARI from best criterion output2025.08—0.218