PL EN


2012 | 13 | 3 | 559-668
Article title

A Kernel Version of Functional Principal Component Analysis

Content
Title variants
Languages of publication
EN
Abstracts
EN
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
Year
Volume
13
Issue
3
Pages
559-668
Physical description
Contributors
References
  • ARONSZAJN, N. (1950). Theory of reproducing kernels, Trans. Amer. Math. Soc. 68, 337–404.
  • KEOGH, E., XI, X., WEI, L. & RATANAMAHATANA, C. A. (2006). The UCR Time Series Classification/Clustering Homepage, http://www.cs.ucr.edu/~eamonn/time_series_data/.
  • RAMSAY, J. O., DALZELL, C. J. (1991). Some tools for functional data analysis, J. Royal Statist. Soc. B 53, 539–572.
  • RAMSAY, J. O., SILVERMAN, B. W. (2002). Applied Functional Data Analysis, Springer, New York.
  • RAMSAY, J. O., SILVERMAN, B. W. (2005). Functional Data Analysis, Springer, New York.
  • SEBER, G. A. F. (1984). Multivariate Observations, Wiley, New York.
Document Type
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.desklight-95375b49-de4e-4f15-9c81-cd163141c6e5
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