Basis of Eigenvectors and Principal Vectors Associated with Gauss-Seidel Matrix of A = tridiag [-1 2 -1].
L. KohauptPublished in: SIAM Rev. (1998)
Keyphrases
- covariance matrix
- singular value decomposition
- eigenvalues and eigenvectors
- covariance matrices
- gauss seidel
- singular values
- principal components
- orthogonal matrices
- eigenvalue decomposition
- matrix representation
- correlation matrix
- rows and columns
- affinity matrix
- feature space
- eigenvalue problems
- linearly independent
- vector space
- principal component analysis
- eigendecomposition
- positive definite
- laplacian matrix
- dot product
- low rank
- dimensionality reduction
- feature vectors
- feature extraction