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HOLUB, D. POŘÍZKA, P. KAISER, J.
Originální název
Cluster analysis of spectroscopic data in the principal component space
Typ
konferenční sborník (ne článek)
Jazyk
angličtina
Originální abstrakt
Laser-Induced Breakdown Spectroscopy (LIBS) is commonly used for mapping heterogeneous samples with unknown chemical composition. After adequate pretreatment of spectroscopic data and choosing the right chemometric methods, the visualization of individual matrices is obtained. However, the outcome from heterogeneous samples are blurred, non-distinct clusters. This phenomenon corrupts the possibility to distinguish individual matrices and provide proper clustering. The experiment is designed to simulate an interference, where two different matrices (or elements) meet. The ablation spot hits the boundary of these two compounds, in this case Iron (Fe) and Aluminium (Al), with controlled step and therefore known ablated Fe:Al ratio. The ratio between Iron and Aluminium is determined using Principal Components Analysis (PCA), clustering and computing the Euclidian distance between clusters. The data is pretreated using methods such as detecting and deleting outliers, different kinds of data standartization and several kinds of approximation.
Klíčová slova
LIBS, Principal Component Analysis, Cluster analysis
Autoři
HOLUB, D.; POŘÍZKA, P.; KAISER, J.
Vydáno
23. 10. 2019
Nakladatel
Spektroskopická společnost Jana Marka Marci
Místo
Ke Karlovu 2027/3, 120 00 Praha 2 - Nové Město
ISBN
978-80-88195-13-9
Strany od
208
Strany do
Strany počet
293
URL
https://emslibs.com/wp-content/uploads/2019/09/b3.2.pdf
BibTex
@proceedings{BUT159467, editor="Daniel {Holub} and Pavel {Pořízka} and Jozef {Kaiser}", title="Cluster analysis of spectroscopic data in the principal component space", year="2019", pages="208--208", publisher="Spektroskopická společnost Jana Marka Marci", address="Ke Karlovu 2027/3, 120 00 Praha 2 - Nové Město", isbn="978-80-88195-13-9", url="https://emslibs.com/wp-content/uploads/2019/09/b3.2.pdf" }