Clustering and latent structure · MLD-0508
HDBSCAN
A hierarchical density-based method selecting stable clusters across density scales.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Cluster embeddings with uneven cluster densities.
Original caveat
Parameter choices and high-dimensional distances still matter.
Context and aliases
Level: Intermediate. Stages: Training · Data · Evaluation.
Tags: ML · DL.
Aliases: Hierarchical DBSCAN.
Related concepts
Concepts linking here
Original references
- scikit-learn: clustering ↗ · Reference link
- scikit-learn: matrix decomposition ↗ · Reference link
- scikit-learn: manifold learning ↗ · Reference link
- scikit-learn: novelty and outlier detection ↗ · Reference link
- Original reference URL ↗