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K-means Clustering on Synthetic d=3, K=4, N=400

2.662WCSSNo priv.
0.411815.6006530.789545.97835Mar 27, 2026

Evaluation results

MethodLinks
No priv.privacy=none2026.032.662
RUGNIKepsilon=1.02026.033.345
RUGNIKepsilon=0.62026.033.884
EUGkMepsilon=1.02026.034.082
EUGkMepsilon=0.62026.034.42
RUGNIKepsilon=0.42026.035.099
RUGNIKepsilon=0.252026.037.124
EUGkMepsilon=0.42026.037.443
EUGkMepsilon=0.252026.038.276
RUGNIKepsilon=0.152026.0310.488
RUGNIKepsilon=0.12026.0313.693
EUGkMepsilon=0.152026.0315.125
EUGkMepsilon=0.12026.0315.708
GCCepsilon=1.02026.0327.311
GCCepsilon=0.62026.0332.513
IBMepsilon=1.02026.0333.462
GCCepsilon=0.42026.0335.987
GCCepsilon=0.252026.0339.422
IBMepsilon=0.62026.0342.125
GCCepsilon=0.152026.0342.285
GCCepsilon=0.12026.0343.9
IBMepsilon=0.42026.0347.888
IBMepsilon=0.252026.0353.059
IBMepsilon=0.152026.0357.131
IBMepsilon=0.12026.0358.917