Low-rank and structured sparse subspace clustering.
Junjian ZhangChun-Guang LiHonggang ZhangJun GuoPublished in: VCIP (2016)
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 dimensional
- low rank approximation
- matrix completion
- subspace clusters
- dimensionality reduction
- nearest neighbor
- high dimensionality
- data sets
- original data
- high order
- clustering algorithm
- missing data
- data points
- linear combination
- text data
- clustering method
- data analysis
- convex optimization
- random projections
- low rank and sparse
- matrix factorization
- sparse coding
- input data
- semi supervised
- trace norm
- computer vision
- kernel function
- feature space
- least squares
- principal component analysis
- singular values
- linear subspace
- negative matrix factorization