Comments L7

[raquellrios]

This lecture is concise and clear. I only have one optional comment:

• (Optional) On slide 10 adding a bullet point on when to use Density-based vs spectral clustering (e.g. dataset size, noise ) could help students (particularly those following on their own the lecture slides) better understand the difference between both methods.

[raquellrios]

Comments on P7:

• I really like this tutorial, very clear visual representations of the difference between DBSCAN and k-clustering and how they can be applied to simulation data.