K-means Clustering on Synthetic (d=2, K=2, N=200)
2.458WCSSNo priv.
Evaluation results
| Method | Links | |
|---|---|---|
| No priv.privacy=none2026.03 | 2.458 | |
| RUGNIKepsilon=1.02026.03 | 2.696 | |
| EUGkMepsilon=1.02026.03 | 2.927 | |
| RUGNIKepsilon=0.62026.03 | 2.93 | |
| RUGNIKepsilon=0.42026.03 | 3.253 | |
| RUGNIKepsilon=0.252026.03 | 4.041 | |
| EUGkMepsilon=0.62026.03 | 4.882 | |
| EUGkMepsilon=0.42026.03 | 5.01 | |
| RUGNIKepsilon=0.152026.03 | 6.682 | |
| EUGkMepsilon=0.252026.03 | 6.977 | |
| EUGkMepsilon=0.152026.03 | 7.483 | |
| RUGNIKepsilon=0.12026.03 | 9.077 | |
| GCCepsilon=1.02026.03 | 16.854 | |
| GCCepsilon=0.62026.03 | 20.849 | |
| IBMepsilon=1.02026.03 | 23.594 | |
| GCCepsilon=0.42026.03 | 23.632 | |
| GCCepsilon=0.252026.03 | 26.179 | |
| GCCepsilon=0.152026.03 | 28.144 | |
| GCCepsilon=0.12026.03 | 29.165 | |
| EUGkMepsilon=0.12026.03 | 33.19 | |
| IBMepsilon=0.62026.03 | 33.716 | |
| IBMepsilon=0.42026.03 | 41.049 | |
| IBMepsilon=0.252026.03 | 47.163 | |
| IBMepsilon=0.152026.03 | 52.172 | |
| IBMepsilon=0.12026.03 | 54.555 |