Lorenz 84

• Average works as well as minimum for non-normalized, and works better for normalized.
• Normalizing features improves results: 3 clusters are identified even for more numics.

Several seeds for normalized and with average

Optimizing epsilon, fixed min neighbors

Works very well for all seeds. In some, works perfectly.

500 ics

5000 ics

Epsilon via elbow method, fixed min neighbors

Worse, but still ok. Finds a few attractors in FP clusters. Also sometimes in the other clusters. Optimal radius is a bit small. Is much faster though

500

5000