TD-Based Unsupervised FE
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-60982-4_5
Reference4 articles.
1. Taguchi, Y.H.: Tensor decomposition-based unsupervised feature extraction applied to matrix products for multi-view data processing. PLoS One 12(8), e0183933 (2017). https://doi.org/10.1371/journal.pone.0183933
2. Taguchi, Y.H., Turki, T.: Mathematical formulation and application of kernel tensor decomposition based unsupervised feature extraction. Knowl.-Based Syst. 217, 106834 (2021). https://doi.org/10.1016/j.knosys.2021.106834. https://www.sciencedirect.com/science/article/pii/S0950705121000976
3. Taguchi, Y.h., Turki, T.: Tensor-decomposition-based unsupervised feature extraction in single-cell multiomics data analysis. Genes 12(9), 1442 (2021). https://doi.org/10.3390/genes12091442. https://www.mdpi.com/2073-4425/12/9/1442
4. Taguchi, Y.h., Turki, T.: Novel feature selection method via kernel tensor decomposition for improved multi-omics data analysis. BMC Med. Genet. 15(1), 37 (2022). https://doi.org/10.1186/s12920-022-01181-4
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