Manifold Learning

Advanced Introduction to Machine Learning - 10-715

Content

  • PCA (1901)

  • Multi-dimensional Scaling (1952)

  • Maximum Variance Unfolding, Colored MVU

  • Mixture of PCA, Mixture of Factor Analyzers

  • Local Linear Embedding (2000)

  • Isomap (2000), C-Isomap

  • Hessian Eigenmaps

  • Laplacian Eigenmaps (2003)

  • Local Tangent Space Alignment

Supplementary material

Slides in PDF

Recommended papers

  • Tenenbaum and Langford: Isomap papers Html

  • Sam Roweis: LLE papers Html