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K-means Clustering on Synthetic d=3, K=8, N=1600

3.718WCSSNo priv.
0.2440423.6932747.142570.59173Mar 27, 2026

Evaluation results

MethodLinks
No priv.privacy=none2026.033.718
EUGkMepsilon=1.02026.034.097
RUGNIKepsilon=1.02026.034.136
RUGNIKepsilon=0.62026.034.564
EUGkMepsilon=0.62026.035.071
RUGNIKepsilon=0.42026.035.085
RUGNIKepsilon=0.252026.036.609
EUGkMepsilon=0.42026.036.868
RUGNIKepsilon=0.152026.039.611
EUGkMepsilon=0.252026.0311.826
EUGkMepsilon=0.152026.0312.695
RUGNIKepsilon=0.12026.0313.341
EUGkMepsilon=0.12026.0320.103
IBMepsilon=1.02026.0333.253
GCCepsilon=1.02026.0339.647
IBMepsilon=0.62026.0345.614
GCCepsilon=0.62026.0352.809
IBMepsilon=0.42026.0354.705
GCCepsilon=0.42026.0363.118
IBMepsilon=0.252026.0363.186
IBMepsilon=0.152026.0369.868
IBMepsilon=0.12026.0373.421
GCCepsilon=0.252026.0373.68
GCCepsilon=0.152026.0383.593
GCCepsilon=0.12026.0390.567