Simultaneous Subspace Clustering and Cluster Number Estimating Based on Triplet Relationship
In this paper, we propose a unified framework to discover the number of clusters and group the data points into different clusters using subspace clustering simultaneously. Real data distributed in a high-dimensional space can be disentangled into a union of low-dimensional subspaces, which can bene...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 28(2019), 8 vom: 07. Aug., Seite 3973-3985
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| 1. Verfasser: |
Liang, Jie
(VerfasserIn) |
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| Weitere Verfasser: |
Yang, Jufeng,
Cheng, Ming-Ming,
Rosin, Paul L,
Wang, Liang |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2019
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article |
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