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)
- sklearn
- good for visualization
- dictionary learning
- random trees embedding
- independent component analysis
Last modified July 16, 2022: fix headlines in ML doc (a533e7c)