Konstantinos Pitas

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In this paper, two state-of-the-art subspace clustering techniques, namely the Sparse Subspace Clustering and the Elastic Net Subspace Clustering, are tested for clustering. Both algorithms are frequently implemented using the linearized alternating directions method. An efficient implementation of the Elastic Net Subspace Clustering is derived, employing(More)
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