Barycenter Computation on Location-scatter population Uniform P0 = Uniform([-sqrt(3), +sqrt(3)]^D) (test)
100BW2-UVP[C]
Evaluation results
| Method | Links | |
|---|---|---|
| [C]D=22022.01 | 100 | |
| [C]D=42022.01 | 100 | |
| [C]D=82022.01 | 100 | |
| [C]D=162022.01 | 100 | |
| [C]D=322022.01 | 100 | |
| [C]D=642022.01 | 100 | |
| [C]D=1282022.01 | 100 | |
| [SCW2B]D=1282022.01 | 1.38 | |
| [SCW2B]D=642022.01 | 0.6 | |
| [SCW2B]D=322022.01 | 0.46 | |
| Wasserstein Iterative NetworksD=1282022.01 | 0.46 | |
| [SCW2B]D=162022.01 | 0.29 | |
| Wasserstein Iterative NetworksD=642022.01 | 0.27 | |
| [SCW2B]D=82022.01 | 0.19 | |
| [SCW2B]D=22022.01 | 0.12 | |
| Wasserstein Iterative NetworksD=322022.01 | 0.11 | |
| [SCW2B]D=42022.01 | 0.1 | |
| Wasserstein Iterative NetworksD=162022.01 | 0.08 | |
| Wasserstein Iterative NetworksD=42022.01 | 0.06 | |
| Wasserstein Iterative NetworksD=82022.01 | 0.06 | |
| Wasserstein Iterative NetworksD=22022.01 | 0.04 |