Clustering disjoint subspaces via sparse representation.
Ehsan ElhamifarRené VidalPublished in: ICASSP (2010)
Keyphrases
- sparse representation
- high dimensional data
- dictionary learning
- sparse coding
- data points
- high dimensionality
- dimensionality reduction
- basis vectors
- random projections
- nearest neighbor
- compressive sensing
- compressed sensing
- data sets
- low dimensional
- high dimensional
- subspace clustering
- joint optimization
- clustering method
- original data
- image patches
- image classification
- k means
- face recognition
- clustering algorithm
- regularized least squares
- norm minimization
- data analysis
- negative matrix factorization
- sparse approximations
- dimension reduction
- low rank
- piecewise smooth
- principal component analysis
- subspace learning
- spectral clustering
- test images
- sparsity constraints
- sparse reconstruction
- image representation
- signal processing