Subspace clustering based on low rank representation and weighted nuclear norm minimization

12 Oct 2016Yu SongYiquan Wu

Subspace clustering refers to the problem of segmenting a set of data points approximately drawn from a union of multiple linear subspaces. Aiming at the subspace clustering problem, various subspace clustering algorithms have been proposed and low rank representation based subspace clustering is a very promising and efficient subspace clustering algorithm... (read more)

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