Dimensionality Reduction

Linear Projection

  • principal component analysis (PCA)
  • singular value decomposition
  • random projection

Manifold Learning

This is also knon as nonlinear dimensionality reduction.

  • isomap
  • multidimensional scaling (MDS) - good for visualization
  • locally linear embedding (LLE)
  • t-distributed stochastic neighbor embedding (t-SNE)
  • dictionary learning
  • random trees embedding
  • independent component analysis
Last modified July 16, 2022: fix headlines in ML doc (a533e7c)