Keyphrases
- high dimensional
- high order
- noisy data
- high dimension
- high dimensional feature space
- kernel principal component analysis
- low dimensional
- canonical form
- sparse data
- similarity search
- feature space
- multi dimensional
- high dimensional data
- decomposition method
- high dimensional problems
- incomplete data
- dimension reduction
- high dimensionality
- data points
- dimensionality reduction
- missing data
- kernel function
- decomposition algorithm
- higher order
- nearest neighbor
- kernel methods
- missing values
- metric space
- decomposition methods
- discrete data
- nonlinear equations
- microarray data
- low dimensional manifolds
- scalar valued