Skip to main content

3 docs tagged with "dimensionality-reduction"

View all tags

Autoencoder — Non-linear Dimensionality Reduction

Complete results of the SpectralAutoencoder applied to the 183 LAMOST DR5 features: symmetric MLP architecture, latent space z=2, MSE(AE)=0.489 ≈ PCA(k=10), gravity axis discovery on latent axis 1, QSO anomaly detection (7 QSOs, reconstruction error ≈ 4× the stellar median), interpolation and latent arithmetic.

Dimensionality Reduction — PCA, UMAP, t-SNE

Complete comparison of three dimensionality reduction methods on 43,019 LAMOST DR5 stellar spectra: PCA (linear), UMAP (topological) and t-SNE (probabilistic). Hyperparameters, results, Procrustes stability and HDBSCAN clusters.