Clustering and latent structure · MLD-1282
UMAP
A nonlinear method constructing a low-dimensional representation from neighborhood structure.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Visualize or reduce embedding dimensions.
Original caveat
The visualization is sensitive to parameters and should not prove clusters alone.
Context and aliases
Level: Intermediate. Stages: Training · Data · Evaluation.
Tags: ML · DL.
Aliases: Uniform manifold approximation and projection.
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 ↗