Subspace clustering using a symmetric low-rank representation

7 Mar 2014 Jie Chen Hua Mao Yongsheng Sang Zhang Yi

In this paper, we propose a low-rank representation with symmetric constraint (LRRSC) method for robust subspace clustering. Given a collection of data points approximately drawn from multiple subspaces, the proposed technique can simultaneously recover the dimension and members of each subspace... (read more)

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