Challenge of the Week - Solution from one of the Participants

The number of clusters steadily decreases (7 at 20s [ 167 iterations], 6 at 40s [ 333 iterations], 5 at the end [500 iterations]) Around the middle of the video you see that the clusters appear to be fairly stable, however more iterations result in a significant change in cluster location and number. A local minimum was detected, however it was not the global minimum. One cluster is especially small (and potentially suspect) at the end of the iterations in this simulation One of the clusters is unstable: points are exchanging between it and a nearby cluster - further iterations may reduce the number of clusters through consolidation. There is a lot more movement of points within the z dimension than along x or y. This would be worth investigating as a potential issue with the clustering algorithm or visualization - or perhaps something interesting is going on!