Sparse Subspace Clustering: Algorithm, Theory, and Applications.
Ehsan ElhamifarRené VidalPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2013)
Keyphrases
- clustering algorithm
- high dimensional
- subspace clustering
- low dimensional
- feature space
- principal component analysis
- theoretical basis
- theoretical framework
- clustering high dimensional data
- data mining
- low rank representation
- clustering analysis
- linear subspace
- data clustering
- document clustering
- sparse representation
- high dimensional data
- spectral clustering
- sparse coding
- cluster analysis
- missing data
- compressive sensing
- von neumann
- clustering method
- image sequences