So what's the insight behind such visualizations? Can it be used to separate photographic pictures from paintings for example?
Color in image reproduction is notoriously difficult to measure by simply looking at a whole image. Much of what we perceive as color characteristics are contextually dependent. And while the characteristics may not vary, the level of contextual dependence seems to. Females are more likely to have more reliable contextually affected color perception than males.
If you look at such an image, you will have two clusters of pixels, one for the green screen, and one for the actor. By selecting the appropriate cluster you now know which pixels you need to replace for compositing your actor in front of a CGI background.