Dimensionality Reduction of SPD Data Based on Riemannian Manifold Tangent Spaces and Isometry.
Wenxu GaoZhengming MaWeichao GanShuyu LiuPublished in: Entropy (2021)
Keyphrases
- riemannian manifolds
- data sets
- dimensionality reduction
- data points
- training data
- data analysis
- multi class
- nonlinear dimensionality reduction
- covariance matrices
- euclidean space
- high dimensional data
- feature extraction
- probability distribution
- pairwise
- reproducing kernel hilbert space
- dimensionality reduction methods
- machine learning