Reweighted Manifold Learning of Collective Variables from Enhanced Sampling Simulations.
Jakub RydzewskiMing ChenTushar K. GhoshOmar ValssonPublished in: CoRR (2022)
Keyphrases
- manifold learning
- low dimensional
- nonlinear dimensionality reduction
- dimensionality reduction
- semi supervised
- high dimensional
- diffusion maps
- dimension reduction
- high dimensional data
- feature extraction
- subspace learning
- manifold learning algorithm
- sparse representation
- head pose estimation
- laplacian eigenmaps
- sample size
- random sampling
- parameter space
- locality preserving
- support vector machine svm
- training data
- latent space
- manifold structure
- data mining
- low dimensional manifolds
- neural network
- data sets