Graph Regularized Subspace Clustering via Low-Rank Decomposition.
Aimin JiangWeigao ChengJing ShangXiaoyu MiaoYanping ZhuPublished in: EUSIPCO (2020)
Keyphrases
- low rank
- subspace clustering
- high dimensional data
- ell norm
- subgraph mining
- trace norm
- affinity matrix
- low rank and sparse
- nearest neighbor
- dimensionality reduction
- subspace clusters
- rank minimization
- low rank matrix
- high dimensional
- low dimensional
- linear combination
- data sets
- high dimensionality
- matrix completion
- data points
- convex optimization
- matrix factorization
- missing data
- data analysis
- clustering method
- original data
- text data
- clustering algorithm
- computer vision
- high order
- sparse representation
- least squares
- cluster structure
- weighted graph
- graph matching
- singular value decomposition
- higher order
- semi supervised
- image data