Dependency maximization forward feature selection algorithms based on normalized cross-covariance operator and its approximated form for high-dimensional data.
Jianhua XuWenkai LuJun LiHongli YuanPublished in: Inf. Sci. (2022)
Keyphrases
- high dimensional data
- feature selection algorithms
- data sets
- dimensionality reduction
- feature selection
- nearest neighbor
- high dimensional
- low dimensional
- high dimensionality
- subspace clustering
- data points
- clustering high dimensional data
- data distribution
- data analysis
- high dimensional datasets
- missing values
- manifold learning
- gene expression data
- input space
- input data
- feature set
- feature space
- small sample size
- high dimensional spaces
- similarity measure
- support vector
- pattern recognition
- linear discriminant analysis
- pairwise