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

The existing, semisupervised, spectral clustering approaches have two major drawbacks, i.e., either they cannot cope with multiple categories of supervision or they sometimes exhibit unstable effectiveness. To address these issues, two normalized affinity and penalty jointly constrained spectral clu...

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Detalhes bibliográficos
Publicado no:IEEE Trans Neural Netw Learn Syst
Main Authors: Qian, Pengjiang, Jiang, Yizhang, Wang, Shitong, Su, Kuan-Hao, Wang, Jun, Hu, Lingzhi, Muzic, Raymond F.
Formato: Artigo
Idioma:Inglês
Publicado em: 2017
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4990515/
https://ncbi.nlm.nih.gov/pubmed/26915134
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TNNLS.2015.2511179
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