Multi-Attribute Subspace Clustering via Auto-Weighted Tensor Nuclear Norm Minimization
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DOI: 10.1109/tip.2022.3220949
Abstract: Self-expressiveness based subspace clustering methods have received wide attention for unsupervised learning tasks. However, most existing subspace clustering methods consider data features as a whole and then focus only on one single self-representation. These approaches… read more here.
Keywords: attribute subspace; multi attribute; subspace clustering; weighted tensor ... See more keywords