Kernel alignment-based three-way clustering on attribute space and its application in stroke risk identification-Reference-Cited by-同舟云学术

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Kernel alignment-based three-way clustering on attribute space and its application in stroke risk identification

Published:2021-12-02 Issue: Volume: Page:
ISSN:1868-8071
Container-title:International Journal of Machine Learning and Cybernetics
language:en
Short-container-title:Int. J. Mach. Learn. & Cyber.

Author:

Wang Ting,Sun Bingzhen,Jiang Chao,Weng Heng,Chu Xiaoli

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

https://link.springer.com/content/pdf/10.1007/s13042-021-01478-3.pdf

Reference53 articles.

1. Afridi MK, Azam N, Yao J (2020) Variance based three-way clustering approaches for handling overlapping clustering. Int J Approx Reason 118:47–63. https://doi.org/10.1016/j.ijar.2019.11.011

2. Bentaiba-Lagrid MB, Bouzar-Benlabiod L, Rubin SH, Bouabana-Tebibel T, Hanini MR (2020) A case-based reasoning system for supervised classification problems in the medical field. Expert Syst Appl 150:113335

3. Chen H, Zhang Y, Gutman I (2016) A kernel-based clustering method for gene selection with gene expression data. J Biomed Inf 62:12–20. https://doi.org/10.1016/j.jbi.2016.05.007

4. Chen L, Chen D (2019) Alignment based feature selection for multi-label learning. Neural Process Lett 50(3):2323–2344. https://doi.org/10.1007/s11063-019-10009-9

5. Chen L, Chen D, Wang H (2019) Fuzzy kernel alignment with application to attribute reduction of heterogeneous data. IEEE Trans Fuzzy Syst 27(7):1469–1478. https://doi.org/10.1109/tfuzz.2018.2880933

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