A generic model-free feature screening procedure for ultra-high dimensional data with categorical response.
Xuewei ChengHong WangPublished in: Comput. Methods Programs Biomed. (2023)
Keyphrases
- high dimensional data
- generic model
- dimensionality reduction
- nearest neighbor
- high dimensional
- low dimensional
- similarity search
- dimension reduction
- subspace clustering
- data analysis
- high dimensions
- data sets
- high dimensionality
- appearance model
- linear discriminant analysis
- data points
- manifold learning
- clustering high dimensional data
- high dimensional spaces
- lower dimensional
- missing values
- input space
- preprocessing step
- high dimensional datasets
- high dimensional data sets
- feature vectors
- nonlinear dimensionality reduction
- small sample size
- sparse representation
- image features
- image classification
- input data
- database
- feature space