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K-means Clustering on Synthetic d=3, K=2, N=100

1.9WCSSNo priv.
0.1521211.9503123.748535.54669Mar 27, 2026

Evaluation results

MethodLinks
No priv.privacy=none2026.031.9
EUGkMepsilon=1.02026.033.797
RUGNIKepsilon=1.02026.033.8
RUGNIKepsilon=0.62026.034.651
RUGNIKepsilon=0.42026.036.286
EUGkMepsilon=0.62026.036.413
EUGkMepsilon=0.42026.036.931
RUGNIKepsilon=0.252026.038.214
RUGNIKepsilon=0.152026.0310.604
RUGNIKepsilon=0.12026.0313.091
GCCepsilon=1.02026.0314.952
GCCepsilon=0.62026.0316.897
GCCepsilon=0.42026.0318.092
GCCepsilon=0.252026.0319.044
GCCepsilon=0.152026.0319.673
GCCepsilon=0.12026.0319.99
EUGkMepsilon=0.12026.0321.355
EUGkMepsilon=0.152026.0321.355
EUGkMepsilon=0.252026.0321.355
IBMepsilon=1.02026.0330.918
IBMepsilon=0.62026.0336.978
IBMepsilon=0.42026.0340.357
IBMepsilon=0.252026.0343.051
IBMepsilon=0.152026.0344.86
IBMepsilon=0.12026.0345.597