K-means Clustering on Synthetic d=2, K=8, N=800
0.701WCSSNo priv.
Evaluation results
| Method | Links | |
|---|---|---|
| No priv.privacy=none2026.03 | 0.701 | |
| RUGNIKepsilon=1.02026.03 | 0.794 | |
| EUGkMepsilon=1.02026.03 | 0.835 | |
| RUGNIKepsilon=0.62026.03 | 0.865 | |
| RUGNIKepsilon=0.42026.03 | 0.972 | |
| EUGkMepsilon=0.62026.03 | 1.28 | |
| RUGNIKepsilon=0.252026.03 | 1.322 | |
| EUGkMepsilon=0.42026.03 | 1.761 | |
| RUGNIKepsilon=0.152026.03 | 2.012 | |
| RUGNIKepsilon=0.12026.03 | 3.082 | |
| EUGkMepsilon=0.252026.03 | 4.253 | |
| EUGkMepsilon=0.152026.03 | 4.783 | |
| EUGkMepsilon=0.12026.03 | 4.8 | |
| IBMepsilon=1.02026.03 | 10.952 | |
| IBMepsilon=0.62026.03 | 13.41 | |
| IBMepsilon=0.42026.03 | 14.889 | |
| IBMepsilon=0.252026.03 | 16.176 | |
| IBMepsilon=0.152026.03 | 16.989 | |
| IBMepsilon=0.12026.03 | 17.419 | |
| GCCepsilon=1.02026.03 | 18.502 | |
| GCCepsilon=0.62026.03 | 23.624 | |
| GCCepsilon=0.42026.03 | 27.167 | |
| GCCepsilon=0.252026.03 | 30.835 | |
| GCCepsilon=0.152026.03 | 34.49 | |
| GCCepsilon=0.12026.03 | 37.018 |