Tensor LRR and Sparse Coding-Based Subspace Clustering

Subspace clustering groups a set of samples from a union of several linear subspaces into clusters, so that the samples in the same cluster are drawn from the same linear subspace. In the majority of the existing work on subspace clustering, clusters are built based on feature information, while sam...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems Jg. 27; H. 10; S. 2120 - 2133
Hauptverfasser:	Yifan Fu, Junbin Gao, Tien, David, Zhouchen Lin, Xia Hong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.10.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Automobile industry Clustering algorithms Correlation Data models Dictionaries Dictionary learning Robustness sparse coding (SC) Sparse matrices subspace clustering Tensile stress tensor low-rank representation (TLRR)
ISSN:	2162-237X, 2162-2388, 2162-2388
Online-Zugang:	Volltext
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