A Conditionally Positive Define Kernel Low-rank Subspace Clustering.
Liping ChenPublished in: CVDL (2024)
Keyphrases
- low rank
- subspace clustering
- high dimensional data
- kernel matrix
- kernel matrices
- affinity matrix
- dimensionality reduction
- low dimensional
- input space
- high dimensional
- subspace clusters
- nearest neighbor
- low rank matrix
- matrix completion
- high dimensionality
- rank minimization
- data sets
- linear combination
- missing data
- data points
- data analysis
- matrix factorization
- singular value decomposition
- convex optimization
- sparse representation
- kernel function
- clustering method
- original data
- support vector
- trace norm
- clustering algorithm
- text data
- semi supervised
- feature space
- subspace learning
- pattern recognition