Dimensionality reduction with subgaussian matrices: a unified theory.
Sjoerd DirksenPublished in: CoRR (2014)
Keyphrases
- dimensionality reduction
- singular value decomposition
- theoretical framework
- feature selection
- principal component analysis
- feature extraction
- dimensionality reduction methods
- high dimensional
- euclidean distance
- high dimensionality
- pattern recognition and machine learning
- machine learning
- nonlinear dimensionality reduction
- lower dimensional
- data representation
- principal components
- high dimensional data
- pattern recognition
- dimension reduction
- manifold learning
- input space
- data analysis
- subspace learning
- unified model
- information systems
- computer vision