Eigenvectors for a random walk on a hyperplane arrangement.
Graham C. DenhamPublished in: Adv. Appl. Math. (2012)
Keyphrases
- hyperplane
- random walk
- principal components
- graph laplacian
- proximity matrix
- data points
- principal component analysis
- support vector
- feature space
- training samples
- covariance matrix
- support vector machine
- directed graph
- markov chain
- spectral clustering
- convex hull
- input space
- transition probability matrix
- kernel function
- singular value decomposition
- svm classifier
- laplacian matrix
- markov random walk
- eigendecomposition
- support vectors
- kernel methods
- dimensionality reduction
- feature selection
- spectral methods
- laplace beltrami
- pattern recognition
- training data