Talk:Scree plot

Eigenvalue Criteria Cutoff of 1 ("Kaiser rule")
In other places such as the ones below, it is often noted that the dimensions with eigenvalue less than 1 is not relevant to research. There are alternatives like CVE and PVE worth noting. Also the "Broken Stick Rule" is worth cross-referencing.

https://bradleyboehmke.github.io/HOML/pca.html https://www.graphpad.com/guides/prism/latest/statistics/stat_pca_graphs_tab.htm https://blogs.sas.com/content/iml/2017/08/02/retain-principal-components.html — Preceding unsigned comment added by 183.179.53.41 (talk) 15:39, 19 May 2022 (UTC)


 * I would like to add that the criticism section doesn't really work. Axis scaling, as long as it is linear, neither affects the eigenvalues nor moves the value of maximum curvature.
 * It may be reasonable to (properly) criticize using the plot as the only decision tool for picking (the number of) factors, but that does not mean it is a worthless view of data. Elias (talk) 05:47, 24 April 2023 (UTC)