Sequential Feature Screening for Generalized Linear Models with Sparse Ultra-High Dimensional Data.
Junying ZhangHang WangRiquan ZhangJiajia ZhangPublished in: J. Syst. Sci. Complex. (2020)
Keyphrases
- high dimensional data
- generalized linear models
- high dimensional
- regression model
- logistic regression
- low dimensional
- dimensionality reduction
- nearest neighbor
- high dimensionality
- data analysis
- linear regression
- sparse representation
- subspace clustering
- data points
- data sets
- dimension reduction
- missing values
- clustering high dimensional data
- linear discriminant analysis
- regression methods
- variable selection
- machine learning
- input data
- decision trees
- kernel methods
- model selection
- principal component analysis
- least squares
- knowledge discovery
- feature vectors
- pattern recognition
- learning algorithm