Spherical Rotation Dimension Reduction with Geometric Loss Functions.
Hengrui LuoDidong LiPublished in: CoRR (2022)
Keyphrases
- dimension reduction
- loss function
- principal component analysis
- pairwise
- support vector
- low dimensional
- high dimensional
- high dimensional data
- linear discriminant analysis
- learning models
- singular value decomposition
- feature extraction
- feature selection
- loss minimization
- dimensionality reduction
- random projections
- reproducing kernel hilbert space
- feature space
- unsupervised learning
- high dimensionality
- geometric structure
- convex loss functions
- cluster analysis
- risk minimization
- input data
- semi supervised
- pairwise constraints
- neural network
- data sets