This post will explain how to classify individuals within a population into subpopulations using the K-means algorithm.
Figure 1 shows the “K-means clustering” tab selected in QTLmax Super.
(Figure 1)
(Figure 2) shows the selected input file, which is a PCA result file calculated by QTLmax.
(Figure 2)
After you enter the project name and select the number of groups for the entire population in the K field, click the [Execute] button. You’ll then see the subpopulation class for each individual displayed as a number.
(Figure 3)