A Lagrange subspace approach to dissipation inequalities.
Arjan van der SchaftVolker MehrmannPublished in: CDC (2022)
Keyphrases
- high dimensional data
- subspace clustering
- feature space
- numerical solution
- sufficient conditions
- low dimensional
- principal component analysis
- high dimensional
- subspace learning
- dimensionality reduction
- b spline
- linear subspace
- clustering high dimensional data
- linear inequalities
- kernel based nonlinear
- subspace methods
- principal components analysis
- principal components
- valid inequalities
- data sets
- subspace clusters
- facet defining inequalities
- sensor networks