Scalable Feature Selection in High-Dimensional Data Based on GRASP.
Mohsen MoshkiPeyman KabiriAlireza MohebalhojehPublished in: Appl. Artif. Intell. (2015)
Keyphrases
- high dimensional data
- feature selection
- high dimensionality
- dimensionality reduction
- nearest neighbor
- low dimensional
- high dimensional
- gene expression data
- dimension reduction
- data sets
- subspace clustering
- high dimensions
- data points
- original data
- feature extraction
- text categorization
- high dimensional spaces
- input space
- variable selection
- text classification
- high dimensional datasets
- clustering high dimensional data
- data analysis
- high dimensional data sets
- missing values
- feature space
- small sample size
- machine learning
- manifold learning
- sparse representation
- nonlinear dimensionality reduction
- preprocessing step
- data distribution
- similarity search
- microarray data
- pattern recognition
- principal component analysis
- input data
- dimensional data
- subspace learning
- feature selection algorithms
- text data
- linear discriminant analysis
- feature subset
- support vector
- variable weighting