Data-Dependent Sparsity for Subspace Clustering.
Bo XinYizhou WangWen GaoDavid P. WipfPublished in: UAI (2017)
Keyphrases
- data dependent
- subspace clustering
- high dimensional
- high dimensional data
- subspace clusters
- clustering method
- sparse representation
- clustering high dimensional data
- low dimensional
- clustering algorithm
- risk bounds
- rademacher complexity
- dimensionality reduction
- data sets
- denoising
- high dimensionality
- reproducing kernel hilbert space
- database
- hash functions
- feature vectors
- feature space
- cluster structure
- subspace projections