Singular value decomposition of large random matrices (for two-way classification of microarrays).
Marianna BollaKatalin FriedlAndrás KrámliPublished in: J. Multivar. Anal. (2010)
Keyphrases
- singular value decomposition
- dimension reduction
- singular values
- low rank
- data matrix
- latent semantic indexing
- least squares
- principal component analysis
- dimensionality reduction
- feature vectors
- high dimensionality
- low rank approximation
- feature selection
- measurement matrix
- pattern recognition
- null space
- feature extraction
- support vector
- correlation matrix
- low rank matrix
- machine learning
- high dimensional data
- support vector machine svm
- training samples
- low dimensional
- matrix factorization
- training set
- feature space
- factorization method