Adaptive multi-granularity sparse subspace clustering.
Sparse subspace clustering (SSC) focuses on revealing data distribution from algebraic perspectives and has been widely applied to high-dimensional data. The key to SSC is to learn the sparsest representation and derive an adjacency graph. Theoretically, the adjacency matrix with proper block diagon...
| Main Authors: | , , , , |
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| Format: | Article |
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Elsevier Inc.
2023
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