10-601 DR

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This a lecture used in the Syllabus for Machine Learning 10-601

Slides

Slides in PDF

Readings

  • PCA
    • Bishop's 12.1
    • There is a tutorial description of PCA also here: Shlens, Jonathon. "A tutorial on principal component analysis." Systems Neurobiology Laboratory, University of California at San Diego (2005).
  • Manifold learning
    • ISOMAP A Global Geometric Framework for Nonlinear Dimensionality Reduction
    • LLE Nonlinear Dimensionality Reduction by Locally Linear Embedding
Retrieved from "http://curtis.ml.cmu.edu/w/courses/index.php?title=10-601_DR&oldid=16337"

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