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. 2020 May 26;6(2):e11512. doi: 10.2196/11512

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)