Bi-iteration SVD subspace tracking algorithms.
Peter StrobachPublished in: IEEE Trans. Signal Process. (1997)
Keyphrases
- singular value decomposition
- dimensionality reduction
- principal component analysis
- business intelligence
- singular vectors
- low dimensional
- lower dimensional
- subspace learning
- subspace clustering
- kernel based nonlinear
- principal components
- clustering high dimensional data
- least squares
- dimension reduction
- qr decomposition
- singular values
- high dimensional data
- objective function
- big data
- linear discriminant analysis
- linear subspace
- stopping criterion
- subspace clusters
- high dimensional
- data sets
- input data
- knowledge discovery
- log log
- decision making
- databases