Low-Rank Joint Subspace Construction for Cancer Subtype Discovery.
Aparajita KhanPradipta MajiPublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2020)
Keyphrases
- low rank
- low rank representation
- rank minimization
- high dimensional data
- eigendecomposition
- missing data
- linear combination
- low rank matrix
- convex optimization
- affinity matrix
- matrix factorization
- singular value decomposition
- regularized regression
- matrix completion
- matrix decomposition
- kernel matrix
- semi supervised
- high order
- low rank matrices
- subspace clustering
- trace norm
- low dimensional
- feature space
- minimization problems
- data analysis
- principal component analysis
- singular values
- data points
- high dimensional
- feature extraction
- robust principal component analysis
- data matrix
- subspace learning
- nearest neighbor
- linear subspace
- pattern recognition
- dimensionality reduction
- missing values
- image processing