Cluster Lines 3D, hclust()
The Currently selected lines and traits will be clustered according to their distance computed from markers and trait values, using the R procedure hclust() (Hierarchical cluster analysis on a set of dissimilarities). The clusters will be displayed in three dimensions calculated by Singular Value Decomposition, R procedure svd(). This method of clustering typically requires at least 25 lines for the execution to complete.
When you have examined the results you can select the clusters you want to use as your new Currently selected lines. Reclustering a group of lines requires at least 25 members in a cluster.