Low-rank kernel learning for graph-based clustering.
Zhao KangLiangjian WenWenyu ChenZenglin XuPublished in: Knowl. Based Syst. (2019)
Keyphrases
- low rank
- kernel learning
- kernel matrix
- semi supervised
- kernel matrices
- pairwise constraints
- high dimensional data
- linear combination
- convex optimization
- missing data
- semidefinite programming
- unsupervised learning
- matrix factorization
- low rank matrix
- singular value decomposition
- multiple kernel learning
- clustering algorithm
- semi supervised learning
- kernel methods
- model selection
- feature space
- high order
- kernel function
- k means
- pairwise
- unlabeled data
- metric learning
- dimensionality reduction
- data sets
- nearest neighbor
- distance metric
- high dimensional
- data points
- interior point methods