AI engineering glossary · Classical ML algorithms
What is HDBSCAN?
HDBSCAN: A hierarchical version of density-based clustering that builds a tree of clusters over all density thresholds and extracts the most stable ones. It handles varying densities and needs mainly a minimum cluster size.
HDBSCAN: an example
Using min_cluster_size=20 finds tight groups of support tickets and labels the rest as noise.
Related terms
More Classical ML algorithms terms
- Hierarchical clustering
- Hinge loss
- ID3
- Inertia
- Information gain
- Isolation forest
- K-means
- k-nearest neighbours
Where you learn it
HDBSCAN is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.