Genetic Programming for Explainable Manifold Learning.
Ben CravensAndrew LensenPaula MaddiganBing XuePublished in: CoRR (2024)
Keyphrases
- manifold learning
- genetic programming
- dimensionality reduction
- nonlinear dimensionality reduction
- low dimensional
- diffusion maps
- high dimensional
- semi supervised
- dimension reduction
- subspace learning
- high dimensional data
- evolutionary algorithm
- locality preserving
- manifold structure
- sparse representation
- manifold learning algorithm
- feature extraction
- laplacian eigenmaps
- feature space
- head pose estimation
- data sets
- discriminant projection
- genetic algorithm
- latent space
- data points