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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