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

4.955WCSSNo priv.
1.1865226.6237652.06177.49824Mar 27, 2026

Evaluation results

MethodLinks
No priv.privacy=none2026.034.955
EUGkMepsilon=1.02026.035.088
RUGNIKepsilon=1.02026.035.112
RUGNIKepsilon=0.62026.035.283
EUGkMepsilon=0.62026.035.31
RUGNIKepsilon=0.42026.035.504
RUGNIKepsilon=0.252026.036.03
EUGkMepsilon=0.42026.036.054
RUGNIKepsilon=0.152026.037.434
RUGNIKepsilon=0.12026.039.576
EUGkMepsilon=0.252026.039.766
EUGkMepsilon=0.152026.0313.848
EUGkMepsilon=0.12026.0314.302
IBMepsilon=1.02026.0323.96
GCCepsilon=0.62026.0331.434
GCCepsilon=1.02026.0333.692
GCCepsilon=0.42026.0337.717
IBMepsilon=0.62026.0340.557
GCCepsilon=0.252026.0344.937
GCCepsilon=0.152026.0351.176
GCCepsilon=0.12026.0354.828
IBMepsilon=0.42026.0356.616
IBMepsilon=0.252026.0374.488
IBMepsilon=0.152026.0390.287
IBMepsilon=0.12026.0399.167