-Motivated Low-Rank Sparse Subspace Clustering.
Maria BrbicIvica KoprivaPublished in: IEEE Trans. Cybern. (2020)
Keyphrases
- subspace clustering
- low rank
- high dimensional data
- rank minimization
- low rank matrix
- high dimensional
- low rank matrices
- affinity matrix
- low rank representation
- sparse representation
- robust principal component analysis
- regularized regression
- low rank approximation
- matrix completion
- dimensionality reduction
- low dimensional
- subspace clusters
- high dimensionality
- data sets
- original data
- nearest neighbor
- data points
- data analysis
- missing data
- singular value decomposition
- high order
- linear combination
- clustering algorithm
- convex optimization
- input data
- matrix factorization
- clustering method
- linear subspace
- text data
- singular values
- semi supervised