K-means Clustering on Synthetic (d=2, K=4, N=400)
1.382WCSSNo priv.
Evaluation results
| Method | Links | |
|---|---|---|
| No priv.privacy=none2026.03 | 1.382 | |
| RUGNIKepsilon=1.02026.03 | 1.515 | |
| EUGkMepsilon=1.02026.03 | 1.624 | |
| RUGNIKepsilon=0.62026.03 | 1.654 | |
| RUGNIKepsilon=0.42026.03 | 1.797 | |
| EUGkMepsilon=0.62026.03 | 1.89 | |
| RUGNIKepsilon=0.252026.03 | 2.297 | |
| EUGkMepsilon=0.42026.03 | 3.012 | |
| RUGNIKepsilon=0.152026.03 | 3.319 | |
| EUGkMepsilon=0.252026.03 | 5.218 | |
| RUGNIKepsilon=0.12026.03 | 5.259 | |
| EUGkMepsilon=0.152026.03 | 9.132 | |
| EUGkMepsilon=0.12026.03 | 9.133 | |
| IBMepsilon=1.02026.03 | 17.309 | |
| GCCepsilon=1.02026.03 | 21.663 | |
| IBMepsilon=0.62026.03 | 22.679 | |
| GCCepsilon=0.62026.03 | 26.022 | |
| IBMepsilon=0.42026.03 | 26.104 | |
| GCCepsilon=0.42026.03 | 28.971 | |
| IBMepsilon=0.252026.03 | 29.13 | |
| IBMepsilon=0.152026.03 | 31.015 | |
| GCCepsilon=0.252026.03 | 31.911 | |
| IBMepsilon=0.12026.03 | 32.278 | |
| GCCepsilon=0.152026.03 | 34.569 | |
| GCCepsilon=0.12026.03 | 36.17 |