A kernel version of functional principal component analysis

Tomasz Górecki () and Mirosław Krzyśko ()

Statistics in Transition new series, 2012, vol. 13, issue 3, 559-568

Abstract: In this paper a new construction of functional principal components (FPCA) is proposed, based on principal components for vector data. A kernel version of FPCA is also presented. The quality of the two described methods was tested on 20 different data sets.

Keywords: PCA; FPCA; kernel version of FPCA (search for similar items in EconPapers)
Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:csb:stintr:v:13:y:2012:i:3:p:559-568

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