3. Clustering

3.1 K-Means clustering

We'll use Jake Vanderplas' excellent K-Means clustering tutorial

3.2 Hierarchical Clustering

The point of "clustering" is to group similar things together, and keep different things far apart. We'll see that depends on how you define "similar" and "far apart" :)

Distance metrics (defines "similar")
Linkage methods (defines "far apart")

3. Clustering

3.1 K-Means clustering

3.2 Hierarchical Clustering

3.3 Application and comparison