Table 2.
Comparison of clustering accuracy (measured by adjusted rand index) between CIDR and four other algorithms
| Data set | Size | CIDR | CIDR (L) | prcomp | t-SNE | RaceID | ZIFA |
|---|---|---|---|---|---|---|---|
| Pancreatic islet | 60 | 0.68 | 0.42 | 0.21 | 0.20 | 0.22 | 0.20 |
| Simulation | 150 | 0.92 | 0.90 | 0.48 | 0.02 | 0 | 0.00 |
| Human brain | 420 | 0.90 | 0.88 | 0.48 | 0.57 | 0.39 | 0.53 |
| Mouse brain | 1800 | 0.52 | 0.37 | 0.26 | 0.62 | 0.37a | 0.32 |
CIDR is the default CIDR algorithm implementation with step function simplification, while CIDR (L) is the implementation with the non-simplified logistic function
aRaceID failed to converge for the mouse brain data set