Dimension Reduction Using Active Manifolds.
Robert A. BridgesChris FelderChelsey HoffPublished in: CoRR (2018)
Keyphrases
- dimension reduction
- manifold learning
- low dimensional
- high dimensional
- manifold embedding
- high dimensional data
- principal component analysis
- feature space
- feature extraction
- high dimensional problems
- random projections
- dimensionality reduction
- data mining and machine learning
- high dimensionality
- nonlinear manifold
- cluster analysis
- variable selection
- manifold learning algorithm
- partial least squares
- high dimensional data analysis
- euclidean space
- linear discriminant analysis
- feature selection
- discriminative information
- singular value decomposition
- low dimensional manifolds
- unsupervised learning
- data sets
- locally linear embedding
- neural network