Hierarchical and DBSCAN
Clusters of varied shape and density.
Beyond k-Means
k-Means assumes round, similar-sized clusters and a fixed k. When that breaks, other algorithms handle trickier shapes and densities. 🔍
Build a Hierarchy
Hierarchical clustering merges the two closest groups over and over, building a tree of nested clusters from the bottom up.
All lessons in this course
- Supervised vs Unsupervised
- k-Means and Choosing k
- Hierarchical and DBSCAN
- Profile and Name Your Clusters