Czasopismo
Tytuł artykułu
Autorzy
Warianty tytułu
Języki publikacji
Abstrakty
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. (original abstract)
Twórcy
autor
- Adam Mickiewicz University in Poznań, Poland
autor
- Adam Mickiewicz University in Poznań, Poland
Bibliografia
- 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.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171324355