Low-Rank Kernel Subspace Clustering.
Pan JiIan D. ReidRavi GargHongdong LiMathieu SalzmannPublished in: CoRR (2017)
Keyphrases
- subspace clustering
- low rank
- high dimensional data
- kernel matrix
- kernel matrices
- affinity matrix
- rank minimization
- input space
- dimensionality reduction
- nearest neighbor
- high dimensional
- low rank matrix
- data sets
- subspace clusters
- matrix completion
- high dimensionality
- low dimensional
- missing data
- data points
- clustering method
- linear combination
- matrix factorization
- convex optimization
- data analysis
- feature space
- trace norm
- singular value decomposition
- kernel function
- input data
- clustering algorithm
- neural network
- original data
- semi supervised
- text data
- sparse representation
- pattern recognition
- subspace learning
- linear subspace
- high order
- computer vision