K-means Clustering on Synthetic d=2, K=2, N=100
1.249WCSSNo priv.
Evaluation results
| Method | Links | |
|---|---|---|
| No priv.privacy=none2026.03 | 1.249 | |
| RUGNIKepsilon=1.02026.03 | 1.537 | |
| RUGNIKepsilon=0.62026.03 | 1.862 | |
| RUGNIKepsilon=0.42026.03 | 2.417 | |
| EUGkMepsilon=1.02026.03 | 2.479 | |
| EUGkMepsilon=0.62026.03 | 3.509 | |
| EUGkMepsilon=0.42026.03 | 3.621 | |
| RUGNIKepsilon=0.252026.03 | 3.824 | |
| EUGkMepsilon=0.252026.03 | 3.968 | |
| RUGNIKepsilon=0.152026.03 | 6.002 | |
| RUGNIKepsilon=0.12026.03 | 6.114 | |
| GCCepsilon=1.02026.03 | 10.95 | |
| GCCepsilon=0.62026.03 | 12.486 | |
| GCCepsilon=0.42026.03 | 13.434 | |
| GCCepsilon=0.252026.03 | 14.233 | |
| GCCepsilon=0.152026.03 | 14.772 | |
| GCCepsilon=0.12026.03 | 15.035 | |
| EUGkMepsilon=0.12026.03 | 16.523 | |
| EUGkMepsilon=0.152026.03 | 16.523 | |
| IBMepsilon=1.02026.03 | 18.5 | |
| IBMepsilon=0.62026.03 | 22.498 | |
| IBMepsilon=0.42026.03 | 24.757 | |
| IBMepsilon=0.252026.03 | 26.775 | |
| IBMepsilon=0.152026.03 | 28.014 | |
| IBMepsilon=0.12026.03 | 28.556 |