Fast Dimension Reduction Using Rademacher Series on Dual BCH Codes.
Nir AilonEdo LibertyPublished in: Discret. Comput. Geom. (2009)
Keyphrases
- dimension reduction
- high dimensional
- reed solomon
- principal component analysis
- feature extraction
- data dependent
- data mining and machine learning
- low dimensional
- high dimensional problems
- high dimensional data
- feature selection
- feature space
- variable selection
- linear discriminant analysis
- error correction
- high dimensionality
- partial least squares
- random projections
- singular value decomposition
- manifold learning
- cluster analysis
- dimensionality reduction
- unsupervised learning
- preprocessing
- discriminative information
- discriminant analysis
- generalization error
- data mining
- training set
- dimension reduction methods
- high dimensional data analysis