Symmetric low-rank representation for subspace clustering

Jie Chen, Haixian Zhang, Hua Mao +2

We propose a symmetric low-rank representation (SLRR) method for subspace clustering, which assumes that a data set is approximately drawn from the union of multiple subspaces. The…