Improving Penalized Logistic Regression Model with Missing Values in High-Dimensional Data.
Aiedh Mrisi AlharthiMuhammad Hisyam LeeZakariya Yahya AlgamalPublished in: Int. J. Online Biomed. Eng. (2022)
Keyphrases
- high dimensional data
- missing values
- regression model
- model selection
- nearest neighbor
- high dimensional
- dimensionality reduction
- low dimensional
- high dimensionality
- variable selection
- data sets
- data points
- data analysis
- subspace clustering
- original data
- incomplete data
- low rank
- dimension reduction
- gaussian process
- least squares
- logistic regression
- regression problems
- linear discriminant analysis
- gene expression data
- maximum likelihood
- manifold learning
- input data
- principal component analysis
- pattern recognition
- data mining