Near neighbor preserving dimension reduction for doubling subsets of $\ell_1$.
Ioannis Z. EmirisVasilis MargonisIoannis PsarrosPublished in: CoRR (2019)
Keyphrases
- dimension reduction
- principal component analysis
- high dimensional
- low dimensional
- singular value decomposition
- variable selection
- feature extraction
- high dimensional problems
- data mining and machine learning
- random projections
- linear discriminant analysis
- manifold learning
- high dimensional data
- sparse representation
- dimensionality reduction
- partial least squares
- discriminative information
- unsupervised learning
- feature space
- preprocessing
- feature selection
- dimension reduction methods
- high dimensionality
- computer vision
- feature subspace
- high dimensional data analysis
- linear transformation
- learning problems
- cluster analysis
- model selection
- face recognition
- image processing