Dimensionality reduction of tensors based on manifold-regularized tucker decomposition and its iterative solution.
Haidong HuangZhengming MaGuokai ZhangPublished in: Int. J. Mach. Learn. Cybern. (2022)
Keyphrases
- dimensionality reduction
- low dimensional
- high dimensional
- manifold learning
- high order
- least squares
- data representation
- tensor decomposition
- nonlinear dimensionality reduction
- lower dimensional
- principal component analysis
- decomposition algorithm
- pattern recognition
- total least squares
- high dimensionality
- high dimensional data
- random projections
- riemannian metric
- diffusion maps
- machine learning