Keyphrases
- eigenvalues and eigenvectors
- symmetric matrices
- singular value decomposition
- correlation matrix
- covariance matrices
- singular values
- eigendecomposition
- covariance matrix
- machine learning
- positive definite
- principal component analysis
- neural network
- convex optimization
- principal components
- spectral clustering
- linear complementarity problem
- pairwise
- feature selection