Sparse Subspace Clustering: Algorithm, Theory, and Applications.

Ehsan Elhamifar René Vidal

Published 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