Your privacy, your choice

We use essential cookies to make sure the site can function. We also use optional cookies for advertising, personalisation of content, usage analysis, and social media.

By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some third parties are outside of the European Economic Area, with varying standards of data protection.

See our privacy policy for more information on the use of your personal data.

for further information and to change your choices.
Skip to main content
Figure 6 | BMC Genetics

Figure 6

From: Discriminant analysis of principal components: a new method for the analysis of genetically structured populations

Figure 6

Inference of the number of clusters in the extended HGDP-CEPH data. This graph shows the output of the function find.clusters used to identify the number of clusters in extended HGDP-CEPH data. Bayesian information criterion (BIC) is provided for different numbers of clusters (from one to 100). The chosen number of clusters (4) is circled in red. The inset indicates the global results (up to 100 clusters), while the main figure shows the detail of the results up to 30 clusters.

Back to article page

BMC Genomic Data

ISSN: 2730-6844

Contact us