Feature selection for high-dimensional data.
Augusto DestreroSofia MosciChristine De MolAlessandro VerriFrancesca OdonePublished in: Comput. Manag. Sci. (2009)
Keyphrases
- high dimensional data
- feature selection
- dimensionality reduction
- high dimensionality
- data sets
- dimension reduction
- low dimensional
- nearest neighbor
- high dimensional
- gene expression data
- similarity search
- subspace clustering
- data analysis
- data points
- high dimensions
- text categorization
- input space
- data distribution
- feature selection algorithms
- linear discriminant analysis
- lower dimensional
- variable selection
- feature subset
- high dimensional spaces
- dimensional data
- missing values
- machine learning
- feature extraction
- text classification
- small sample size
- nonlinear dimensionality reduction
- high dimensional data sets
- support vector machine
- high dimensional datasets
- feature space
- subspace learning
- clustering high dimensional data
- manifold learning
- original data
- model selection
- pattern recognition
- text data
- sparse representation
- locally linear embedding
- feature set
- support vector
- computer vision
- neural network