ArticleOriginal scientific text
Title
A learning algorithm combining functional discriminant coordinates and functional principal components
Authors 1, 1, 2
Affiliations
- 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
Abstract
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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Pages:
127-141
Main language of publication
English
Received
2014-09-10
Accepted
2014-09-16
Published
2014
DOI: 10.7151/dmps1163
Exact and natural sciences