A fast anchor-based graph-regularized low-rank representation approach for large-scale subspace clustering.
Lili FanGuifu LuGanyi TangYong WangPublished in: Mach. Vis. Appl. (2024)
Keyphrases
- subspace clustering
- affinity matrix
- low rank representation
- subgraph mining
- high dimensional data
- clustering method
- linear subspace
- subspace clusters
- high dimensional
- low rank
- clustering algorithm
- random walk
- high dimensionality
- least squares
- graph laplacian
- graph construction
- graph matching
- graph structure
- spectral clustering
- graph model
- data sets
- missing data
- unsupervised learning
- dimensionality reduction
- pairwise
- neural network