Dimension reduction with missing response at random.
Xu GuoTao WangWangli XuLixing ZhuPublished in: Comput. Stat. Data Anal. (2014)
Keyphrases
- dimension reduction
- principal component analysis
- feature extraction
- high dimensional data
- high dimensional
- random projections
- singular value decomposition
- high dimensional problems
- linear discriminant analysis
- variable selection
- low dimensional
- missing data
- dimensionality reduction
- discriminative information
- data mining and machine learning
- feature selection
- manifold learning
- partial least squares
- unsupervised learning
- high dimensionality
- high dimensional data analysis
- cluster analysis
- feature space
- preprocessing
- sparse metric learning
- dimension reduction methods
- supervised learning
- data mining
- model selection
- intrinsic dimension
- neural network
- data sets