Cluster analysis of spectroscopic data in the principal component space

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26620%2F19%3APU133782" target="_blank" >RIV/00216305:26620/19:PU133782 - isvavai.cz</a>
Result on the web
<a href="https://emslibs.com/wp-content/uploads/2019/09/b3.2.pdf" target="_blank" >https://emslibs.com/wp-content/uploads/2019/09/b3.2.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Cluster analysis of spectroscopic data in the principal component space
Original language description
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
Czech name
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Czech description
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Project
<a href="/en/project/EF16_013%2F0001728" target="_blank" >EF16_013/0001728: CEITEC Nano+</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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