Journal of Probability and Statistics / 2018 / Article / Tab 2

Research Article

Detecting Spatial Clusters via a Mixture of Dirichlet Processes

Table 2

Kmeans simulation assessments for three foci-level clusters.

Scenario: Median Num. of Clusters  (SD)Cluster indexAverage Sensitivity  (SD)Average Specificity  (SD)Average Accuracy (%)  (SD)

Normal5 (0.95)10.73 (0.29)0.98 (0.09)0.7 (0.12)
20.72 (0.3)0.98 (0.08)
30.67 (0.26)1 (0)

Chi-squared10 (0.5)10.58 (0.19)0.99 (0.01)0.5 (0.09)
20.86 (0.28)0.92 (0.03)
30.16 (0.08)0.98 (0.11)

Large 15 (0.98)10.68 (0.33)1 (0.04)0.7 (0.13)
20.76 (0.26)0.96 (0.12)
30.67 (0.26)1 (0)

Large 27 (1.29)10.61 (0.27)0.99 (0.06)0.58 (0.11)
20.61 (0.27)0.99 (0.06)
30.54 (0.27)1 (0)

Large 39 (0.94)10.49 (0.19)1 (0)0.46 (0.08)
20.47 (0.17)1 (0)
30.43 (0.24)1 (0)

Large 410 (0.57)10.43 (0.16)1 (0.01)0.41 (0.07)
20.42 (0.14)1 (0.01)
30.38 (0.2)1 (0)

SD: standard deviation across 100 MC replicates.

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