Clustering and latent structure · MLD-0406
Factor analysis
A latent-variable model explaining correlations using shared factors and observation-specific noise.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Model correlated measurements with hidden factors.
Original caveat
Its noise model distinguishes it from basic PCA.
Context and aliases
Level: Intermediate. Stages: Training · Data · Evaluation.
Tags: ML · DL.
Aliases: None recorded.
Related concepts
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 ↗