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K-means Clustering on Synthetic (d=2, K=8, N=1600)

1.409WCSSNo priv.
-1.1581216.1699433.49850.82606Mar 27, 2026

Evaluation results

MethodLinks
No priv.privacy=none2026.031.409
EUGkMepsilon=1.02026.031.497
RUGNIKepsilon=1.02026.031.539
RUGNIKepsilon=0.62026.031.587
EUGkMepsilon=0.62026.031.595
RUGNIKepsilon=0.42026.031.662
RUGNIKepsilon=0.252026.031.869
EUGkMepsilon=0.42026.032.144
RUGNIKepsilon=0.152026.032.286
RUGNIKepsilon=0.12026.033.06
EUGkMepsilon=0.252026.033.454
EUGkMepsilon=0.152026.035.227
EUGkMepsilon=0.12026.038.351
IBMepsilon=1.02026.0314.435
IBMepsilon=0.62026.0320.137
IBMepsilon=0.42026.0324.307
GCCepsilon=1.02026.0327.025
IBMepsilon=0.252026.0328.304
IBMepsilon=0.152026.0331.331
IBMepsilon=0.12026.0333.091
GCCepsilon=0.62026.0333.696
GCCepsilon=0.42026.0342.144
GCCepsilon=0.252026.0351.077
GCCepsilon=0.152026.0359.517
GCCepsilon=0.12026.0365.587