nSimplex Zen: A Novel Dimensionality Reduction for Euclidean and Hilbert Spaces.
Richard ConnorLucia VadicamoPublished in: CoRR (2023)
Keyphrases
- hilbert spaces
- dimensionality reduction
- euclidean distance
- hilbert space
- euclidean space
- variational inequalities
- low dimensional
- high dimensional
- data points
- principal component analysis
- input space
- high dimensional data
- pattern recognition
- high dimensionality
- feature space
- feature extraction
- linear discriminant analysis
- manifold learning
- principal components
- feature selection
- dimension reduction
- reproducing kernel hilbert space
- kernel pca
- finite dimensional
- distance metric
- metric learning
- support vector machine
- image processing