Chordal Decomposition in Rank Minimized Semidefinite Programs with Applications to Subspace Clustering.
Jared MillerYang ZhengBiel Roig-SolvasMario SznaierAntonis PapachristodoulouPublished in: CDC (2019)
Keyphrases
- subspace clustering
- semidefinite
- high dimensional data
- semidefinite programming
- subspace clusters
- clustering algorithm
- clustering method
- sufficient conditions
- high dimensional
- high dimensionality
- interior point methods
- higher dimensional
- convex sets
- convex relaxation
- data points
- neural network
- linear programming
- finite dimensional
- feature space