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K-means Clustering on Synthetic (d=2, K=8, N=400)

0.362WCSSNo priv.
-0.424244.8828810.1915.49712Mar 27, 2026

Evaluation results

MethodLinks
No priv.privacy=none2026.030.362
RUGNIKepsilon=1.02026.030.481
RUGNIKepsilon=0.62026.030.601
RUGNIKepsilon=0.42026.030.785
EUGkMepsilon=1.02026.030.874
RUGNIKepsilon=0.252026.031.268
EUGkMepsilon=0.62026.031.331
RUGNIKepsilon=0.152026.031.944
EUGkMepsilon=0.42026.032.05
EUGkMepsilon=0.252026.032.431
RUGNIKepsilon=0.12026.032.723
EUGkMepsilon=0.12026.036.408
EUGkMepsilon=0.152026.036.408
IBMepsilon=1.02026.037.063
IBMepsilon=0.62026.037.898
IBMepsilon=0.42026.038.343
IBMepsilon=0.252026.038.664
IBMepsilon=0.152026.038.903
IBMepsilon=0.12026.038.981
GCCepsilon=1.02026.0312.479
GCCepsilon=0.62026.0314.54
GCCepsilon=0.42026.0316.065
GCCepsilon=0.252026.0317.668
GCCepsilon=0.152026.0319.134
GCCepsilon=0.12026.0320.018