Fast Low-Rank Semidefinite Programming for Embedding and Clustering.
Brian KulisArun C. SurendranJohn C. PlattPublished in: AISTATS (2007)
Keyphrases
- low rank
- semidefinite programming
- kernel matrix
- high dimensional data
- linear combination
- trace norm
- convex optimization
- missing data
- matrix factorization
- positive semidefinite
- interior point methods
- singular value decomposition
- clustering method
- semi supervised
- clustering algorithm
- interior point
- high order
- k means
- kernel function
- semidefinite
- primal dual
- data points
- minimization problems
- high dimensional
- input space
- kernel methods
- nonnegative matrix factorization
- pairwise
- nearest neighbor
- affinity matrix
- maximum margin
- data sets
- linear programming
- feature selection
- machine learning