Sparse subspace clustering via Low-Rank structure propagation.
Yao SuiGuanghui WangLi ZhangPublished in: Pattern Recognit. (2019)
Keyphrases
- low rank
- subspace clustering
- high dimensional data
- low rank matrix
- rank minimization
- affinity matrix
- high dimensional
- low rank matrices
- robust principal component analysis
- low rank representation
- convex optimization
- sparse representation
- matrix completion
- matrix factorization
- linear combination
- singular value decomposition
- clustering method
- low rank approximation
- high order
- missing data
- dimensionality reduction
- data sets
- subspace clusters
- clustering algorithm
- data analysis
- regularized regression
- trace norm
- subspace learning
- high dimensionality
- sparse matrix
- low dimensional
- nearest neighbor
- neural network