CUR Decompositions, Similarity Matrices, and Subspace Clustering

11 Nov 2017Akram AldroubiKeaton HammAhmet Bugra KokuAli Sekmen

A general framework for solving the subspace clustering problem using the CUR decomposition is presented. The CUR decomposition provides a natural way to construct similarity matrices for data that come from a union of unknown subspaces $\mathscr{U}=\underset{i=1}{\overset{M}\bigcup}S_i$... (read more)

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