Imposing stability in subspace identification by regularization.
Tony Van GestelJohan A. K. SuykensPaul Van DoorenBart De MoorPublished in: CDC (2000)
Keyphrases
- principal component analysis
- empirical risk minimization
- dimensionality reduction
- subspace learning
- rank minimization
- clustering high dimensional data
- feature extraction
- feature space
- low dimensional
- high dimensional data
- principal components
- subspace clustering
- data dependent
- pairwise
- image set
- parameter selection