Figure 1.

3D Toy example datasets, optimizing mean versus minimum distance. Core collections sampled from two generated three-dimensional toy example datasets, respectively of size 500 and 1000, the former being completely random, the latter having a very strongly clustered structure. Both datasets contain only one single marker with 3 corresponding alleles. Core selection was performed using the REMC algorithm, optimizing mean (top) and minimum (bottom) MR distances. For the random dataset, the sampling intensity is set to 0.2, while an intensity of 0.05 is used for the larger, clustered set. (a) random dataset, mean Modified Rogers’ distance (sampling intensity = 0.2), (b) clustered dataset, mean Modified Rogers’ distance (sampling intensity = 0.05), (c) random dataset, minimum Modified Rogers’ distance (sampling intensity = 0.2), (d) clustered dataset, minimum Modified Rogers’ distance (sampling intensity = 0.05).

Beukelaer et al. BMC Bioinformatics 2012 13:312   doi:10.1186/1471-2105-13-312
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