Keyphrases
- eigendecomposition
- covariance matrices
- affine camera
- projection matrix
- low dimensional
- feature space
- principal component analysis
- subspace learning
- singular value decomposition
- three dimensional
- linear subspace
- covariance matrix
- high dimensional data
- subspace clustering
- affinity matrix
- principal components
- singular vectors
- coefficient matrix
- dimensionality reduction
- pairwise comparison
- hilbert space
- data points
- multibody
- singular values
- subspace clusters
- high dimensional
- lower dimensional
- clustering method
- hermite transform
- kernel based nonlinear
- higher order tensors