Manually sifting through 1,000 images is tricky, but what about 1,000,000?
In the previous section, the outlier represented a very specific scene. It is interesting to explore what one of the bigger clusters holds inside. The green cluster at the top of the 2D map clearly represents a big chunk of the images:
So, how many subclusters should this cluster be broken into?
Was seven a good choice?