The Dual Central Subspaces in dimension reduction.
Ross IaciXiangrong YinLixing ZhuPublished in: J. Multivar. Anal. (2016)
Keyphrases
- dimension reduction
- high dimensional data
- principal component analysis
- low dimensional
- high dimensional
- linear projection
- feature space
- feature subspace
- feature extraction
- data mining and machine learning
- dimensionality reduction
- high dimensional problems
- linear discriminant analysis
- partial least squares
- variable selection
- high dimensionality
- nearest neighbor
- singular value decomposition
- lower dimensional
- manifold learning
- random projections
- feature selection
- discriminative information
- linear subspace
- data sets
- dimension reduction methods
- cluster analysis
- data points
- feature vectors
- neural network
- unsupervised learning
- training set
- data analysis
- pattern recognition
- face recognition