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. 2019 Sep 27;14(9):e0222115. doi: 10.1371/journal.pone.0222115

Fig 3. Discriminant analysis of principal components (DAPC) results.

Fig 3

DAPC results for models made with the following number of principal components and percentage of dataset variability explained by those principal components: (A) 3, 90%; (B) 4, 95%; (C) 10, 99%; (D) 35, 99.9%.