DiffRed: Dimensionality reduction guided by stable rank.
Prarabdh ShuklaGagan Raj GuptaKunal DuttaPublished in: AISTATS (2024)
Keyphrases
- dimensionality reduction
- data representation
- low dimensional
- high dimensional data
- principal component analysis
- high dimensionality
- feature extraction
- pattern recognition
- high dimensional
- structure preserving
- data points
- pattern recognition and machine learning
- euclidean distance
- nonlinear dimensionality reduction
- random projections
- preprocessing step
- input space
- manifold learning
- singular value decomposition
- principal components
- linear discriminant analysis
- kernel pca
- sparse representation
- feature space
- data mining
- metric learning
- locally linear embedding
- intrinsic dimensionality
- graph embedding
- pairwise
- highly ranked
- least squares