Journal of Probability and Statistics / 2018 / Article / Tab 3

Research Article

Detecting Spatial Clusters via a Mixture of Dirichlet Processes

Table 3

Comparison of approaches for selected simulated settings assuming study effect is known.

Setting ApproachMedian Num. of Clusters  (SD)Cluster indexAverage Sensitivity  (SD)Average Specificity  (SD)Average Accuracy (%)  (SD)

NormalDP3 (0)11 (0)1 (0)1 (0)
21 (0)1 (0)
31 (0)1 (0)
Mixture3 (0)11 (0)1 (0)1 (0)
21 (0)1 (0)
31 (0)1 (0)
Kmeans3 (0.6)10.81 (0.36)0.93 (0.16)0.8 (0.22)
20.79 (0.38)0.94 (0.15)
30.79 (0.25)1 (0)

Chi-squaredDP16 (1.76)10.99 (0.01)0.99 (0.01)0.65 (0.01)
20.99 (0.01)0.97 (0.01)
30.14 (0.03)1 (0)
Mixture1 (0.29)10.06 (0.24)0.98 (0.11)0.32 (0.1)
20.95 (0.22)0.06 (0.24)
30.05 (0.21)1 (0)
Kmeans10 (0.22)10.99 (0.06)0.98 (0.01)0.62 (0.1)
20.87 (0.34)0.93 (0.03)
30.16 (0.06)0.94 (0.17)

SD: standard deviation across 100 MC replicates.

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