Geodesic
A learning algorithm combining functional discriminant coordinates and functional principal components
Discussiones Mathematicae. Probability and Statistics, Tome 34 (2014) no. 1-2, pp. 127-141

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A new type of discriminant space for functional data is presented, combining the advantages of a functional discriminant coordinate space and a functional principal component space. In order to provide a comprehensive comparison, we conducted a set of experiments, testing effectiveness on 35 functional data sets (time series). Experiments show that constructed combined space provides a higher quality of classification of LDA method compared with component spaces.
Keywords: functional principal components, functional discriminant coordinates 
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     title = {A learning algorithm combining functional discriminant coordinates and functional principal components},
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Górecki, Tomasz; Krzyśko, Mirosław. A learning algorithm combining functional discriminant coordinates and functional principal components. Discussiones Mathematicae. Probability and Statistics, Tome 34 (2014) no. 1-2, pp. 127-141. http://geodesic.mathdoc.fr/item/DMPS_2014_34_1-2_a8/