Sparse subspace clustering with low-rank transformation.
Gang XuMei YangQiufeng WuPublished in: Neural Comput. Appl. (2019)
Keyphrases
- subspace clustering
- low rank
- high dimensional data
- rank minimization
- low rank matrix
- affinity matrix
- high dimensional
- low rank matrices
- low rank representation
- robust principal component analysis
- sparse representation
- low dimensional
- subspace clusters
- dimensionality reduction
- regularized regression
- high dimensionality
- nearest neighbor
- matrix completion
- low rank approximation
- data analysis
- convex optimization
- original data
- data points
- matrix factorization
- data sets
- high order
- missing data
- linear combination
- clustering method
- random projections
- singular value decomposition
- text data
- singular values
- clustering algorithm
- low rank and sparse
- learning algorithm
- machine learning