Table 3.
Frequency of clustering and aberration detection algorithms (n=66).
| Algorithm | Usage, n (%) |
| Cumulative summation | 10 (15) |
| Space-time permutation scan statistic | 10 (15) |
| Space-time scan statistic | 5 (8) |
| Space scan statistic | 4 (6) |
| Kernel density | 3 (5) |
| Moving average | 3 (5) |
| Log-linear regression | 2 (3) |
| Density-based spatial clustering of applications with noise | 2 (3) |
| Recursive least square | 2 (3) |
| Statistical process control | 2 (3) |
| Autoregressive integrated moving average | 2 (3) |
| Risk-adjusted support vector clustering | 1 (2) |
| Bayesian spatial scan statistic | 1 (2) |
| Exponentially weighted moving average | 1 (2) |
| Flexible space-time scan statistic | 1 (2) |
| k-means clustering | 1 (2) |
| K-nearest neighbor with Haversine distance | 1 (2) |
| Shewhart chart | 1 (2) |
| Pulsar method | 1 (2) |
| Risk-adjusted nearest neighbor hierarchical clustering | 1 (2) |
| Small area regression and testing | 1 (2) |
| Spatiotemporal density-based spatial clustering of applications with noise | 1 (2) |
| What is strange about recent event | 1 (2) |
| Bayesian space-time regression | 1 (2) |
| Generalized linear mixed model | 1 (2) |
| Generalized linear model | 1 (2) |
| Holt-Winters exponential smoother | 1 (2) |
| Temporal scan statistic | 1 (2) |
| Modified Early Aberration Reporting System C2 | 1 (2) |
| Temporal aberration detection | 1 (2) |