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Robust subspace clustering by Cauchy loss function
This is due to that the CLF's influence function has a upper bound which can alleviate the influence of a single sample, especially the sample with a large noise, on estimating the residuals.
SCE: A manifold regularized set-covering method for data partitioning
Moreover, considering the importance of the discriminative information underlying in the initial clustering results, we add a discriminative constraint into our proposed objective function.
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