Multiple kernel subspace clustering with local structural graph and low-rank consensus kernel learning.
Zhenwen RenHaoran LiChao YangQuansen SunPublished in: Knowl. Based Syst. (2020)
Keyphrases
- low rank
- kernel learning
- subspace clustering
- multiple kernel
- kernel matrix
- high dimensional data
- dimensionality reduction
- semidefinite programming
- semi supervised
- high dimensional
- linear combination
- nearest neighbor
- low dimensional
- kernel matrices
- high dimensionality
- data analysis
- data sets
- multiple kernel learning
- missing data
- matrix factorization
- singular value decomposition
- data points
- convex optimization
- kernel function
- clustering method
- principal component analysis
- kernel methods
- input space
- high order
- support vector machine
- clustering algorithm
- pairwise constraints
- feature selection
- training set
- feature space
- machine learning