Unsupervised Feature Extraction Applied to Bioinformatics A PCA Based and TD Based Approach /

This updated book proposes applications of tensor decomposition to unsupervised feature extraction and feature selection. The author posits that although supervised methods including deep learning have become popular, unsupervised methods have their own advantages. He argues that this is the case be...

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Bibliografiske detaljer

Hovedforfatter:	Taguchi, Y-h (Author)
Institution som forfatter:	SpringerLink (Online service)
Format:	Electronisk eBog
Sprog:	engelsk
Udgivet:	Cham : Springer International Publishing : Imprint: Springer, 2024.
Udgivelse:	2nd ed. 2024.
Serier:	Unsupervised and Semi-Supervised Learning,
Fag:	Telecommunication. Bioinformatics. Signal processing. Pattern recognition systems. Data mining. Communications Engineering, Networks. Computational and Systems Biology. Signal, Speech and Image Processing. Automated Pattern Recognition. Data Mining and Knowledge Discovery.
Online adgang:	https://doi.org/10.1007/978-3-031-60982-4
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