A geometric approach to subspace updates and orthogonal matrix decompositions under rank-one modifications.
Ralf ZimmermannPublished in: Math. Comput. (2021)
Keyphrases
- singular vectors
- singular value decomposition
- singular values
- data matrix
- low rank approximation
- null space
- nonnegative matrix tri factorization
- principal component analysis
- low rank
- qr decomposition
- nuclear norm minimization
- least squares
- subspace learning
- linear algebra
- orthogonal projection
- correlation matrix
- subspace clustering
- high dimensional data
- low dimensional
- dimensionality reduction
- signal subspace
- data sets
- clustering algorithm
- feature extraction
- affinity matrix
- projection matrix
- eigendecomposition
- missing data