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. 2020 Jul 30;20(15):4238. doi: 10.3390/s20154238

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© 2020 by the authors.

Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

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Visualization of data dimensionality reduction: (a) Daily Herd Improvement (DHI) data dimension reduction results by Principal Component Analysis (PCA); (b) E-nose data dimension reduction results by PCA; (c) Fusion data reduction results by PCA; (d) DHI data dimension reduction results by Linear Discriminant Analysis (LDA); (e) E-nose data dimension reduction results by LDA; (f) Fusion data reduction results by LDA.

Visualization of data dimensionality reduction: (a) Daily Herd Improvement (DHI) data dimension reduction results by Principal Component Analysis (PCA); (b) E-nose data dimension reduction results by PCA; (c) Fusion data reduction results by PCA; (d) DHI data dimension reduction results by Linear Discriminant Analysis (LDA); (e) E-nose data dimension reduction results by LDA; (f) Fusion data reduction results by LDA.