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2014 | 34 | 1-2 | 127-141
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A learning algorithm combining functional discriminant coordinates and functional principal components

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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.
  • Adam Mickiewicz University, Faculty of Mathematics and Computer Science, Umultowska 87, 61-614 Poznań, Poland
  • Adam Mickiewicz University, Faculty of Mathematics and Computer Science, Umultowska 87, 61-614 Poznań, Poland
  • President Stanisław Wojciechowski Higher Vocational State School in Kalisz, Faculty of Management, Nowy Świat 4, 62-800 Kalisz, Poland
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