Latent Space Sparse Subspace Clustering

@article{Patel2013LatentSS,
  title={Latent Space Sparse Subspace Clustering},
  author={Vishal M. Patel and Hien Van Nguyen and Ren{\'e} Vidal},
  journal={2013 IEEE International Conference on Computer Vision},
  year={2013},
  pages={225-232}
}
We propose a novel algorithm called Latent Space Sparse Subspace Clustering for simultaneous dimensionality reduction and clustering of data lying in a union of subspaces. Specifically, we describe a method that learns the projection of data and finds the sparse coefficients in the low-dimensional latent space. Cluster labels are then assigned by applying spectral clustering to a similarity matrix built from these sparse coefficients. An efficient optimization method is proposed and its non… CONTINUE READING
Highly Influential
This paper has highly influenced a number of papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 124 citations. REVIEW CITATIONS