Dimension reduction estimation for central mean subspace with missing multivariate response.
Guo-Liang FanHong-xian XuHan-Ying LiangPublished in: J. Multivar. Anal. (2019)
Keyphrases
- dimension reduction
- principal component analysis
- low dimensional
- high dimensional data
- high dimensional
- dimensionality reduction
- feature extraction
- feature space
- linear projection
- linear discriminant analysis
- random projections
- high dimensional problems
- qr decomposition
- feature selection
- manifold learning
- singular value decomposition
- high dimensionality
- feature subspace
- nearest neighbor
- partial least squares
- face recognition
- subspace clustering
- cluster analysis
- intrinsic dimensionality
- generative topographic mapping
- principal components analysis
- neural network
- linear subspace
- lower dimensional
- discriminant analysis
- missing data
- unsupervised learning
- active learning
- subspace learning
- principal components
- original data
- null space
- data points
- data sets
- high dimensional data analysis