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. 2016 Nov 4;132(1):13–66. doi: 10.1007/s11120-016-0318-y

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© The Author(s) 2016

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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Fig. 11 — Machine learning methods. a principal component analysis (PCA) of 54 Chl a fluorescence parameters derived from a study on the effect of the density of grass on OJIP measurements. b Artificial neural network (ANN) analysis of the same data set. For further details see Question 32 (Bąba, unpublished data)