@ARTICLE{Gil_Józef_PCA_2003,
 author={Gil, Józef},
 volume={vol. 52},
 number={No 3},
 journal={Geodesy and Cartography},
 pages={133-142},
 howpublished={online},
 year={2003},
 publisher={Commitee on Geodesy PAS},
 abstract={The paper presents a method of statistical analysis of multidimensional data by means of the PCA transformation (Principal Components Analysis), carried out by means of a neuron network. The PCA transformation, connected with the Karhunen-Loeve transformation is used for processing signals treated as stochastic processes. The method discussed in the paper, enables the reduction of input data on the basis of specified independent principal components with respect to their significance,},
 type={Article},
 title={PCA transformation as a method of compression of experiment results},
 URL={http://www.czasopisma.pan.pl/Content/121438/PDF/3_GK_TOM_LII_ZESZYT_3_2003_Gil_Transformacja.pdf},
}