Dimensionality Reduction - leemik3/tensorflow-2.0 GitHub Wiki

Linear

  • PCA (Principal Component Analysis)
  • LDA (Linear Discriminant Analysis)

Non-Linear

Nonlinear Dimensionality Reduction
= Representaion learning
= Efficient coding learning
= Feature Extraction
= Manifold Learning

  • Autoencoders (AE)
  • t-SNE (t-distributed stochastic neighbor embedding)
  • Isomap
  • LLE (Locally-linear embedding)

Reference

tistory
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