Robust subspace clustering via symmetry constrained latent low rank representation with converted nuclear norm.
Xian FangZhixin TieFeiyang SongJialiang YangPublished in: Neurocomputing (2019)
Keyphrases
- low rank representation
- subspace clustering
- affinity matrix
- low rank
- high dimensional data
- low rank matrix
- clustering method
- clustering algorithm
- high dimensional
- dimensionality reduction
- linear subspace
- high dimensionality
- norm minimization
- spectral clustering
- sparse representation
- convex optimization
- low dimensional
- nearest neighbor
- missing data
- linear combination
- data points
- kernel matrix
- pairwise
- computer vision
- matrix factorization
- pattern recognition
- hamming distance
- microarray
- graph matching
- latent variables
- cluster analysis
- singular value decomposition
- data sets
- decision trees
- machine learning