Singular value decomposition for feature selection in gene chips.
Dirk KlingbielHenning WittBoris IvandicDieter WeichenhanHugo A. KatusPatricia RuizLutz DümbgenPublished in: German Conference on Bioinformatics (2003)
Keyphrases
- singular value decomposition
- feature selection
- dimensionality reduction
- dimension reduction
- gene expression data
- gene selection
- singular values
- least squares
- microarray
- latent semantic indexing
- principal component analysis
- text categorization
- gene expression
- microarray data
- low rank
- data matrix
- feature space
- support vector
- high dimensionality
- text classification
- model selection
- data sets
- null space
- unsupervised feature selection
- low dimensional
- feature set
- support vector machine
- high dimensional data
- discriminative features
- pattern recognition
- low rank approximation
- knn
- high dimensional
- feature extraction