Single Sequence Fast Feature Selection for High-Dimensional Data.
Francisco de Assis BoldtThomas W. RauberFlávio Miguel VarejãoPublished in: ICTAI (2015)
Keyphrases
- high dimensional data
- dimensionality reduction
- high dimensionality
- feature selection
- high dimensional
- dimension reduction
- low dimensional
- nearest neighbor
- data sets
- similarity search
- gene expression data
- subspace clustering
- data points
- data analysis
- manifold learning
- high dimensions
- input data
- data distribution
- input space
- clustering high dimensional data
- high dimensional datasets
- text data
- sparse representation
- dimensional data
- high dimensional spaces
- original data
- subspace learning
- text categorization
- linear discriminant analysis
- text classification
- feature space
- nonlinear dimensionality reduction
- variable selection
- high dimensional data sets
- missing values
- feature set
- lower dimensional
- microarray data
- feature vectors
- pattern recognition
- small sample size
- feature extraction
- machine learning