Feature selection for online streaming high-dimensional data: A state-of-the-art review.
Ezzatul Akmal Kamaru-ZamanAzlinah MohamedAzlin AhmadPublished in: Appl. Soft Comput. (2022)
Keyphrases
- high dimensional data
- high dimensionality
- dimensionality reduction
- feature selection
- nearest neighbor
- dimension reduction
- low dimensional
- high dimensional
- high dimensions
- subspace clustering
- gene expression data
- data points
- data distribution
- data sets
- data analysis
- similarity search
- original data
- feature extraction
- input space
- clustering high dimensional data
- feature space
- variable selection
- sparse representation
- manifold learning
- high dimensional spaces
- subspace learning
- small sample size
- support vector
- input data
- pattern recognition
- missing values
- data streams
- nonlinear dimensionality reduction
- text categorization
- lower dimensional
- high dimensional data sets
- variable weighting
- high dimensional datasets
- locally linear embedding
- dimensional data
- preprocessing step
- euclidean distance
- text classification
- query processing
- training data
- machine learning