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Table 1 Power comparisons for the single-objective algorithms and multi-objective algorithms.

From: Penalized likelihood and multi-objective spatial scans for the detection and inference of irregular clusters

cluster NP GC NC DN MGC MNC MDN
A 0.838 0.822 0.881 0.839 0.950 0.942 0.946
B 0.882 0.843 0.926 0.898 0.954 0.969 0.958
C 0.827 0.814 0.826 0.667 0.933 0.915 0.932
D 0.896 0.840 0.922 0.877 0.962 0.965 0.968
E 0.874 0.778 0.885 0.822 0.947 0.946 0.950
F 0.629 0.433 0.585 0.510 0.746 0.743 0.795
NY 0.759 0.747 0.819 0.868 0.888 0.909 0.914
BOS 0.792 0.834 0.864 0.892 0.918 0.928 0.937
D.C. 0.803 0.903 0.877 0.901 0.955 0.936 0.936