Simultaneous Dimension Reduction and Variable Selection for Multinomial Logistic Regression.
Canhong WenZhenduo LiRuipeng DongYijin NiWenliang PanPublished in: INFORMS J. Comput. (2023)
Keyphrases
- dimension reduction
- variable selection
- multinomial logistic regression
- multi class
- high dimensional data
- principal component analysis
- high dimensional
- feature extraction
- singular value decomposition
- low dimensional
- feature selection
- dimensionality reduction
- artificial neural networks
- high dimensional data analysis
- feature space
- high dimensionality
- random projections
- unsupervised learning
- cluster analysis
- linear discriminant analysis
- preprocessing
- least squares
- support vector machine
- generalization ability
- statistical learning