The Lipschitz Matrix: A Tool for Parameter Space Dimension Reduction.
Jeffrey M. HokansonPaul G. ConstantinePublished in: CoRR (2019)
Keyphrases
- dimension reduction
- parameter space
- high dimensional
- singular value decomposition
- lie group
- qr decomposition
- image space
- low dimensional
- high dimensional problems
- high dimensional data
- random projections
- principal component analysis
- feature extraction
- high dimensionality
- manifold learning
- discriminative information
- feature space
- dimensionality reduction
- cluster analysis
- pattern recognition
- linear discriminant analysis
- data mining
- clustering algorithm
- riemannian manifolds
- preprocessing
- nearest neighbor
- objective function
- neural network
- unsupervised learning
- data mining techniques