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Migrating from partial least squares discriminant analysis to artificial neural networks: a comparison of functionally equivalent visualisation and feature contribution tools using jupyter notebooks

Crossref DOI link: https://doi.org/10.1007/s11306-020-1640-0

Published Online: 2020-01-21

Published Print: 2020-02

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Mendez, Kevin M. https://orcid.org/0000-0002-8832-2607
Broadhurst, David I. https://orcid.org/0000-0003-0775-9581
Reinke, Stacey N. https://orcid.org/0000-0002-0758-0330
Funding

Funding for this research was provided by:

Australian Research Council (LE170100021)
License Information

Text and Data Mining valid from 2020-01-21

Version of Record valid from 2020-01-21
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Article History

Received: 30 November 2019

Accepted: 13 January 2020

First Online: 21 January 2020

Compliance with ethical standards

:

: The authors have no disclosures of potential conflicts of interest related to the presented work.

: No research involving human or animal participants was performed in the construction of this manuscript.

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