Additional dependent measures of RPC movement kinetics correspond with increased clustering efficiencies. (A) Example of a dendrogram output generated using Distance to next point as a dependent clustering variable, for the identification of cases that exhibit a quivering movement. Longer horizontal stems and fewer higher order branching points on the dendrogram output represent stronger clustering. Asterisk indicates contamination by a case from another movement category. Red arrow indicates a quivering nucleus that underwent a mitotic event, and was therefore clustered separately. (B) Dendrogram output demonstrating efficient clustering of mitotic nuclei (green box) using 3 dependent clustering variables. (C) Evaluation of changes in INM phenotypes using hierarchical clustering. Individual nuclei from control and knockdown groups can be identified and clustered with high accuracy (control = 100%; knockdown = 96%) from a merged data set using all four dependent variable measures. The red arrowhead indicates an erroneous assignment of a knockdown case to the control cluster.