Clustering and latent structure · MLD-0657
Linkage criterion
The rule defining distance between clusters during hierarchical clustering.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Use complete linkage to compare farthest member pairs.
Original caveat
Different linkage rules can yield different hierarchies.
Context and aliases
Level: Intermediate. Stages: Training · Data · Evaluation.
Tags: ML · DL.
Aliases: None recorded.
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 ↗