Closed DaniJonesOcean closed 2 years ago
Done! What's interesting here is that the silhouette score is getting worse with higher K. So we're getting more and more overlap, despite an apparent increase in likelihood. So here we see the tradeoff: if we increase K, we get a more sophisticated model with slightly better likelihood but worse overlap. It seems like we can use this to further justify our choice of K=4.
If we use K=2, we have the least amount of overlap between the clusters, but we aren't near the likelihood minimum.
Okay, good!
That being said, sometimes K=3 shows up as the inflection point, despite having quantified the variability as well...could we go for that instead? Maybe it would remove the ambiguity between the transition and the ventilated classes. Could be worth a try
Thought: the process of transforming from one type of profile to another involves changes at the surface, advection, diffusion, and isopycnal changes as well
Picture the profile evolving as it moves - different parts of the profile will change at different rates. Some parts getting warmer, some parts getting colder, etc.
I'm getting much more comfortable with a K=3 model...
Done
This seemed to help in the ozone case