Learning low-rank kernel matrices for constrained clustering.
Mahdieh Soleymani BaghshahSaeed Bagheri ShourakiPublished in: Neurocomputing (2011)
Keyphrases
- low rank
- kernel matrices
- matrix factorization
- kernel learning
- kernel matrix
- learning algorithm
- learning process
- low rank matrix
- linear combination
- learning tasks
- convex optimization
- high order
- singular value decomposition
- semi supervised
- kernel methods
- machine learning
- decision trees
- reinforcement learning
- learning problems
- supervised learning
- distance metric
- high dimensional data
- kernel function
- unsupervised learning
- dimensionality reduction