orthoDr: Semiparametric Dimension Reduction via Orthogonality Constrained Optimization.
Ruoqing ZhuJiyang ZhangRuilin ZhaoPeng XuWenzhuo ZhouXin ZhangPublished in: R J. (2019)
Keyphrases
- constrained optimization
- dimension reduction
- semi parametric
- feature extraction
- principal component analysis
- objective function
- low dimensional
- high dimensional
- singular value decomposition
- feature space
- high dimensionality
- high dimensional data
- feature selection
- manifold learning
- unsupervised learning
- dimensionality reduction
- linear discriminant analysis
- cluster analysis
- pattern recognition
- graphical models
- multi class
- k means
- bayesian networks
- machine learning