Surrogate space based dimension reduction for nonignorable nonresponse.
Jianqiu DengXiaojie YangQihua WangPublished in: Comput. Stat. Data Anal. (2022)
Keyphrases
- dimension reduction
- low dimensional
- principal component analysis
- feature extraction
- high dimensional
- high dimensional problems
- feature selection
- high dimensional data
- random projections
- dimensionality reduction
- data mining and machine learning
- singular value decomposition
- variable selection
- manifold learning
- partial least squares
- feature space
- cluster analysis
- high dimensionality
- linear discriminant analysis
- unsupervised learning
- data points
- data sets
- discriminative information
- preprocessing step
- pairwise
- manifold structure
- bayesian networks
- image processing
- manifold embedding
- dimension reduction methods