DiffRed: Dimensionality Reduction guided by stable rank.
Prarabdh ShuklaGagan Raj GuptaKunal DuttaPublished in: CoRR (2024)
Keyphrases
- dimensionality reduction
- high dimensional
- low dimensional
- principal component analysis
- subspace learning
- feature extraction
- data representation
- feature space
- input space
- feature selection
- pattern recognition
- high dimensional data
- pattern recognition and machine learning
- euclidean distance
- dimensionality reduction methods
- random projections
- data points
- high dimensionality
- principal components
- structure preserving
- principal components analysis
- locally linear embedding
- rank order
- lower dimensional
- supervised dimensionality reduction
- preprocessing step
- manifold learning
- genetic algorithm
- dimension reduction
- linear discriminant analysis
- feature vectors
- kernel pca
- data analysis
- similarity measure
- nonlinear dimensionality reduction
- computer vision
- intrinsic dimensionality
- data mining
- database