I've just performed unsupervised clustering (using DBSCAN) on a dataset for which I have no expert knowledge on.
I'm interested in working out which features had the greatest impact on my clustering.
For instance, I'd like to know if there is a trend in the points labelled as noise.
Any good tips? (Im using Pandas+Numpy for analysis)
If it helps, my distance metric is Cosine.