K-means Clustering on Synthetic d=2, K=4, N=200
0.683WCSSNo priv.
Evaluation results
| Method | Links | |
|---|---|---|
| No priv.privacy=none2026.03 | 0.683 | |
| RUGNIKepsilon=1.02026.03 | 0.844 | |
| RUGNIKepsilon=0.62026.03 | 1.032 | |
| RUGNIKepsilon=0.42026.03 | 1.357 | |
| EUGkMepsilon=1.02026.03 | 1.423 | |
| RUGNIKepsilon=0.252026.03 | 2 | |
| EUGkMepsilon=0.62026.03 | 2.594 | |
| EUGkMepsilon=0.42026.03 | 2.66 | |
| RUGNIKepsilon=0.152026.03 | 3.249 | |
| RUGNIKepsilon=0.12026.03 | 4.508 | |
| EUGkMepsilon=0.152026.03 | 4.533 | |
| EUGkMepsilon=0.252026.03 | 4.533 | |
| IBMepsilon=1.02026.03 | 12.053 | |
| GCCepsilon=1.02026.03 | 13.607 | |
| IBMepsilon=0.62026.03 | 14.043 | |
| IBMepsilon=0.42026.03 | 15.092 | |
| GCCepsilon=0.62026.03 | 15.302 | |
| IBMepsilon=0.252026.03 | 15.917 | |
| IBMepsilon=0.152026.03 | 16.408 | |
| GCCepsilon=0.42026.03 | 16.442 | |
| IBMepsilon=0.12026.03 | 16.669 | |
| GCCepsilon=0.252026.03 | 17.558 | |
| GCCepsilon=0.152026.03 | 18.436 | |
| GCCepsilon=0.12026.03 | 18.926 | |
| EUGkMepsilon=0.12026.03 | 21.808 |