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Estimation of the most probable number of clusters (K), based on 20 independent runs and K ranging from 1 to 10. (a) Evolution of the natural logarithm probability of the data against K; (b) magnitude of ΔK for each K value; and (c) clusteredness analysis of the H. chilense accessions.
