On sufficient dimension reduction with missing responses through estimating equations.
Yuexiao DongQi XiaCheng Yong TangZeda LiPublished in: Comput. Stat. Data Anal. (2018)
Keyphrases
- dimension reduction
- feature extraction
- high dimensional
- principal component analysis
- data mining and machine learning
- high dimensional problems
- singular value decomposition
- low dimensional
- discriminative information
- feature selection
- random projections
- linear discriminant analysis
- variable selection
- manifold learning
- unsupervised learning
- high dimensional data
- high dimensionality
- partial least squares
- high dimensional data analysis
- missing data
- feature space
- dimensionality reduction
- preprocessing
- face recognition
- neural network
- manifold embedding
- discriminant analysis
- database
- least squares
- training set
- dimension reduction methods
- data sets