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K-means Clustering on Synthetic (d=2, K=4, N=800)

2.815WCSSNo priv.
0.2690817.4540434.63951.82396Mar 27, 2026

Evaluation results

MethodLinks
No priv.privacy=none2026.032.815
EUGkMepsilon=1.02026.032.93
RUGNIKepsilon=1.02026.032.947
RUGNIKepsilon=0.62026.033.051
EUGkMepsilon=0.62026.033.068
RUGNIKepsilon=0.42026.033.166
EUGkMepsilon=0.42026.033.35
RUGNIKepsilon=0.252026.033.427
RUGNIKepsilon=0.152026.034.153
RUGNIKepsilon=0.12026.035.481
EUGkMepsilon=0.252026.036.087
EUGkMepsilon=0.152026.0310.649
EUGkMepsilon=0.12026.0310.938
IBMepsilon=1.02026.0320.287
IBMepsilon=0.62026.0330.918
GCCepsilon=1.02026.0335.657
IBMepsilon=0.42026.0339.834
GCCepsilon=0.62026.0340.181
GCCepsilon=0.42026.0347.79
IBMepsilon=0.252026.0348.604
GCCepsilon=0.252026.0355.171
IBMepsilon=0.152026.0355.842
IBMepsilon=0.12026.0360.079
GCCepsilon=0.152026.0361.989
GCCepsilon=0.12026.0366.463