Conditional mean dimension reduction for tensor time series.
Chung Eun LeeXin ZhangPublished in: Comput. Stat. Data Anal. (2024)
Keyphrases
- dimension reduction
- dimensionality reduction
- principal component analysis
- feature extraction
- high dimensional
- linear discriminant analysis
- low dimensional
- random projections
- high dimensional problems
- data mining and machine learning
- manifold learning
- variable selection
- singular value decomposition
- feature selection
- partial least squares
- unsupervised learning
- high dimensional data
- discriminative information
- high dimensionality
- cluster analysis
- nonlinear manifold
- dimension reduction methods
- data sets
- high dimensional data analysis
- discriminant analysis
- maximum likelihood
- data warehouse
- clustering algorithm
- learning algorithm