| Election type | Ordinal |
|---|---|
| Culture | Euclidean 3D-or-more |
| Candidates | {10} |
| Voters | {100} |
| Instances | 10000 |
| The same 800 elections as in “Putting the Compass on the Map of Elections”. For each election (except those with tied winners) and each normalized swap distance $r \in \{0.05, 0.1, ... , 1\}$ we sampled 500 elections at this distance and for each candidate recorded the proportion of elections where he or she won. Therefore, we sampled 8000000 = 800 x 20 x 500 in total, 20 x 500 = 10000 per data point. | |
| Parameters | Uniform 3D ($[0,1]^3$); Uniform 3D Sphere ($(0, 0)$ $r=1$); Uniform 5D ($[0,1]^5$); Uniform 5D Sphere ($(0, 0)$ $r=1$); Uniform 10D ($[0,1]^10$); Uniform 20D ($[0,1]^20$) |
| The same as in “Putting the Compass on the Map of Elections” | |
| Notes | Section 4. Experiments |