Affinity and Penalty Jointly Constrained Spectral Clustering With All-Compatibility, Flexibility, and Robustness.

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PubMed
https://pubmed.ncbi.nlm.nih.gov/26915134
Affinity and Penalty Jointly Constrained Spectral Clustering With …
WEBAffinity and Penalty Jointly Constrained Spectral Clustering With All-Compatibility, Flexibility, and Robustness. IEEE Trans Neural Netw Learn Syst. 2017 May;28 …
- Author: Pengjiang Qian, Yizhang Jiang, Shitong Wang, Kuan-Hao Su, Jun Wang, Lingzhi Hu, Raymond F. Muzic
- Publish Year: 2017
百度学术
https://xueshu.baidu.com/usercenter/paper/show?...
Affinity and Penalty Jointly Constrained Spectral Clustering With …
WEBFirst, benefiting from the distinctive affinity and penalty jointly constrained strategies, both TI-APJCSC and TII-APJCSC are substantially more effective than the existing methods.
EurekaMag
https://eurekamag.com/research/057/150/057150485.php
Affinity and Penalty Jointly Constrained Spectral Clustering with All ...
WEBArticle: Affinity and Penalty Jointly Constrained Spectral Clustering with All-Compatibility, Flexibility, and Robustness The existing, semisupervised, spectral …
INFONA
https://www.infona.pl/resource/bwmeta1.element...
Affinity and Penalty Jointly Constrained Spectral Clustering With …
WEBThe existing, semisupervised, spectral clustering approaches have two major drawbacks, i.e., either they cannot cope with multiple categories of supervision or they sometimes …
ResearchGate
https://www.researchgate.net/profile/Lingzhi-Hu
Lingzhi HU | Washington University in St. Louis, Missouri | WUSTL ...
WEBTo address these issues, two, normalized, affinity and penalty jointly constrained, spectral clustering frameworks as well as their correspond...
ResearchGate
https://www.researchgate.net/profile/Pengjiang-Qian-2
Pengjiang QIAN | Deputy Dean of School of Artificial Intelligence …
WEBTo address these issues, two, normalized, affinity and penalty jointly constrained, spectral clustering frameworks as well as their correspond... View Variable …
People also ask
Why do we need affinity graphs for spectral clustering?
Spectral clustering requires robust and meaningful affin-ity graphs as input in order to form clusters with desired structures that can well support human intuition. To con-struct such affinity graphs is non-trivial due to the ambi-guity and uncertainty inherent in the raw data.
Constructing Robust Affinity Graphs for Spectral Clustering
openaccess.thecvf.com
Is affinity matrix A bounded symmetric graph regularized low-rank matrix completion problem?
Especially, it is formulated as a bounded symmetric graph regularized low-rank matrix completion problem. We also show that the optimized affinity matrix by our model exhibits an ideal appearance under some conditions.
Joint Optimization for Pairwise Constraint Propagation
ieeexplore.ieee.org
Does a deep constrained clustering framework require accurate class label information?
Nonetheless, their method requires accurate class label information to specify the cluster center. Zhang et al. [ 27] proposed a deep constrained clustering framework, which considers different constraints, including pairwise constraints, global size constraints, triplet constraints, and instance difficulty constraints.
Consistency regularization for deep semi-supervised clustering with
link.springer.com
Does spectral clustering work on challenging image and video datasets?
We demon-strate the efficacy of the proposed approach on challenging image and video datasets. 1. Introduction Spectral clustering is a popular clustering method [14, 15, 24, 25], which exploits the eigen-structure of a data affinity graph to partition data into disjoint subsets of simi-lar samples.
Constructing Robust Affinity Graphs for Spectral Clustering
openaccess.thecvf.com
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IEEE Xplore
https://ieeexplore.ieee.org/document/9154586
Joint Optimization for Pairwise Constraint Propagation
WEBAug 3, 2020 · To this end, we propose a joint PCP model for constrained SC by simultaneously learning a propagation matrix and an affinity matrix. Especially, it is …
IEEE Xplore
https://ieeexplore.ieee.org/abstract/document/4587451
Constrained spectral clustering through affinity propagation
WEBThe major challenge in designing an effective constrained spectral clustering is a sensible combination of the scarce pairwise constraints with the original affinity matrix. …
Springer
https://link.springer.com/article/10.1007/s13042-022-01599-3
Consistency regularization for deep semi-supervised clustering …
WEBJul 7, 2022 · For instance, Qian et al. presented an affinity and penalty jointly constrained spectral clustering method. Safari et al. [ 10 ] proposed a semi-supervised ensemble p …
CVF Open Access
https://openaccess.thecvf.com/content_cvpr_2014/...
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Constructing Robust Affinity Graphs for Spectral Clustering
WEBSpectral clustering requires robust and meaningful affin-ity graphs as input in order to form clusters with desired structures that can well support human intuition. To con-struct …
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