Dimensionality Reduction with Subgaussian Matrices: A Unified Theory.
Sjoerd DirksenPublished in: Found. Comput. Math. (2016)
Keyphrases
- dimensionality reduction
- singular value decomposition
- theoretical framework
- principal component analysis
- feature extraction
- theoretical basis
- high dimensional data
- high dimensional
- pattern recognition
- pairwise
- image processing
- data sets
- data representation
- linear dimensionality reduction
- data matrix
- linear algebra
- random projections
- pattern recognition and machine learning
- belief functions
- principal components
- linear discriminant analysis
- feature selection
- information systems