9:00 am: I may or may not have drunk 15 coronas last night
9:15 am: Moar Unsupervised Learning: Other Clustering Algorithms
11:00 am: Additional Unsupervised Learning Challenges
12:00 pm: Lunch
1:30 pm: Fletcher!
5:00 pm: Free as a bird
Slides for Other Clustering Algorithms
Hierarchical Clustering Tutorial
Hierarchical Agglomerative Clustering with different linkages
Mean Shift Math
Spectral Clustering Math
Clustering overview in sklearn
Scipy distance metrics list
Use the same code for your previous clustering challenges. Repeat each challenge (except the inertia curves, since only the KMeans implementation gives a quick way of calculating that.) However, this time, try (both) Agglomerative Clustering and DBSCAN instead of KMeans. For text clustering, use cosine distance.