Multi-Scale Deep Subspace Clustering With Discriminative Learning
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DOI: 10.1109/access.2022.3200482
Abstract: Deep subspace clustering methods have achieved impressive clustering performance compared with other clustering algorithms. However, most existing methods suffer from the following problems: 1) they only consider the global features but neglect the local features… read more here.
Keywords: multi scale; expressiveness coefficient; self expressiveness; subspace clustering ... See more keywords