Dual Graph Regularized Latent Low-Rank Representation for Subspace Clustering
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Publication:4613236
DOI10.1109/TIP.2015.2472277zbMath1408.94773WikidataQ40598052 ScholiaQ40598052MaRDI QIDQ4613236
Guo, Yi, Ming Yin, Junbin Gao, Qinfeng Shi, Zhouchen Lin
Publication date: 31 January 2019
Published in: IEEE Transactions on Image Processing (Search for Journal in Brave)
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)
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Sparse subspace clustering with jointly learning representation and affinity matrix ⋮ Block diagonal representation learning for robust subspace clustering ⋮ Beyond linear subspace clustering: a comparative study of nonlinear manifold clustering algorithms ⋮ Low-rank local tangent space embedding for subspace clustering ⋮ Self-regularized fixed-rank representation for subspace segmentation
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