Low-rank Kernel Learning for Graph-based Clustering.
Zhao KangLiangjian WenWenyu ChenZenglin XuPublished in: CoRR (2019)
Keyphrases
- low rank
- kernel matrix
- kernel learning
- semi supervised
- kernel matrices
- high dimensional data
- pairwise constraints
- linear combination
- semidefinite programming
- matrix factorization
- missing data
- low rank matrix
- convex optimization
- unsupervised learning
- clustering algorithm
- singular value decomposition
- high order
- semi supervised learning
- kernel function
- k means
- multiple kernel learning
- clustering method
- data clustering
- high dimensional
- supervised learning
- distance metric
- labeled data
- support vector regression
- metric learning
- low dimensional
- unlabeled data
- feature space
- dimensionality reduction
- nearest neighbor
- training samples
- data points
- decision trees
- normalized cut
- input space
- spectral clustering
- active learning
- multi class