Megaman: Scalable Manifold Learning in Python.
James McQueenMarina MeilaJacob VanderPlasZhongyue ZhangPublished in: J. Mach. Learn. Res. (2016)
Keyphrases
- manifold learning
- dimensionality reduction
- low dimensional
- nonlinear dimensionality reduction
- diffusion maps
- subspace learning
- dimension reduction
- laplacian eigenmaps
- semi supervised
- high dimensional
- manifold learning algorithm
- head pose estimation
- feature extraction
- high dimensional data
- intrinsic manifold
- manifold structure
- sparse representation
- riemannian manifolds
- feature selection
- manifold embedding
- machine learning
- geodesic distance
- principal component analysis
- feature space
- preprocessing
- embedding space
- object recognition
- low dimensional manifolds
- locality preserving
- nonlinear manifold
- neural network