So I am trying to cluster a dataset that looks like the following:
I have tried K-Means and GMM, which give me horrible results. I have tried DBSCAN, which was okay, but it is difficult to choose the parameters.
What techniques would you use? I am thinking about a Box-Cox transform, then using K-Means again, or trying a different distance measure (p<1) but I wanted to get some expert opinions as well.
So, what should I use?