Complementary dimension reduction.
Na CuiJianjun HuFeng LiangPublished in: Stat. Anal. Data Min. (2021)
Keyphrases
- dimension reduction
- principal component analysis
- feature extraction
- high dimensional problems
- linear discriminant analysis
- random projections
- high dimensional data
- feature selection
- high dimensional
- variable selection
- manifold learning
- singular value decomposition
- high dimensional data analysis
- discriminative information
- data mining and machine learning
- dimensionality reduction
- dimension reduction methods
- high dimensionality
- unsupervised learning
- low dimensional
- partial least squares
- feature space
- preprocessing
- cluster analysis
- machine learning
- database
- learning algorithm
- manifold embedding
- nonlinear manifold
- data sets