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Table 2 Results from STRUCTURE 2.0 on the Pima-Surui data with 100 randomly selected markers without missing genotypes.

From: A non-parametric approach to population structure inference using multilocus genotypes

K a Run 1b Run 2b Run 3b Run 4b Run 5b
1 -10849.6 -10847.8 -10850.1 -10848.9 -10849.5
2 -9616.9 -9619.3 -9619.4 -9629.2 -9614.2
3 -9417 -9418.3 -9412.9 -9529.3 -9498.3
4 -9648.8 -9369.8 -9557 -9397.9 -9445.7
5 -9303.7 -9472.3 -9346.6 -9405.1 -9317
6 -9541.6 -10457.2 -9315.6 -9484.1 -11348.8
7 -9408.4 -10576.9 -10151.4 -9443.4 -10938.6
8 -9451.9 -9369.1 -10715.4 -9393.1 -10304.5
9 -10403.1 -9450.7 -9489.1 -10100.8 -9205.1
  1. aK is the number of clusters/subpopulations; bDifferent runs of STRUCTURE 2.0.