Multiple Kernel Subspace Clustering Based on Consensus Hilbert Space and Second-Order Neighbors.
Zhongyuan WangJinglei LiuPublished in: IEEE Access (2020)
Keyphrases
- hilbert space
- multiple kernel
- kernel methods
- kernel function
- von neumann
- multiple kernel learning
- support vector machine
- linear combination
- infinite dimensional
- kernel learning
- reproducing kernel hilbert space
- finite dimensional
- euclidean space
- multiple features
- nearest neighbor
- multivariate time series
- convex sets
- feature maps
- support vector
- data points
- maximum margin
- input space
- learning problems
- euclidean distance
- high dimensional data
- high dimensional