Multi-Scale Deep Subspace Clustering With Discriminative Learning

Multi-Scale Deep Subspace Clustering With Discriminative Learning

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 in subspace self-expressiveness lear...

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Bibliographic Details
Main Authors: Jiao Wang, Bin Wu, Zhenwen Ren, Yunhui Zhou
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Self-expressiveness
discriminative learning
deep subspace clustering
attention mechanism
Online Access:https://ieeexplore.ieee.org/document/9863835/

Internet

https://ieeexplore.ieee.org/document/9863835/

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