About: SVD-Based Principal Component Analysis of Geochemical Data

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Vzorky alterovaných uhlí byly hodnoceny metodou hlavních komponent s použitím algoritmu SVD. Pomocí nalezených hlavních komponent byly vzorky rozděleny do skupin podle jejich geochemického složení. Výsledky tohoto dělení byly porovnány s výsledky hierarchické klastrovací analýzy. Interpretace nalezených hlavních komponent byla provedena pomocí faktorové analýzy. (cs) Principal Component Analysis (PCA) was used for the mapping of geochemical data. A testing data matrix was prepared from the chemical and physical analyses of the coals altered by thermal and oxidation effects. PCA based on Singular Value Decomposition (SVD) of the standardized (centered and scaled by the standard deviation) data matrix revealed three principal components explaining 85.2 % of the variance. Combining the scatter and components weights plots with knowledge of the composition of tested samples, the coal samples were divided into seven groups depending on the degree of their oxidation and thermal alteration.The PCA findings were verified by other multivariate methods. The relationships among geochemical variables were successfully confirmed by Factor Analysis (FA). The data structure was also described by the Average Group dendrogram using Euclidean distance. The found sample clusters were not defined so clearly as in the case of PCA. It can be explained by the PCA filtration of the data Principal Component Analysis (PCA) was used for the mapping of geochemical data. A testing data matrix was prepared from the chemical and physical analyses of the coals altered by thermal and oxidation effects. PCA based on Singular Value Decomposition (SVD) of the standardized (centered and scaled by the standard deviation) data matrix revealed three principal components explaining 85.2 % of the variance. Combining the scatter and components weights plots with knowledge of the composition of tested samples, the coal samples were divided into seven groups depending on the degree of their oxidation and thermal alteration.The PCA findings were verified by other multivariate methods. The relationships among geochemical variables were successfully confirmed by Factor Analysis (FA). The data structure was also described by the Average Group dendrogram using Euclidean distance. The found sample clusters were not defined so clearly as in the case of PCA. It can be explained by the PCA filtration of the data (en)
Title	SVD-Based Principal Component Analysis of Geochemical Data Analýza hlavních komponent geochemický dat založená na SVD (cs) SVD-Based Principal Component Analysis of Geochemical Data (en)
skos:prefLabel	SVD-Based Principal Component Analysis of Geochemical Data Analýza hlavních komponent geochemický dat založená na SVD (cs) SVD-Based Principal Component Analysis of Geochemical Data (en)
skos:notation	RIV/61989100:27360/05:00012968!RIV06-MSM-27360___
http://linked.open.../vavai/riv/strany	731-741
http://linked.open...avai/riv/aktivita	Z
http://linked.open...avai/riv/aktivity	Z(MSM6198910016)
http://linked.open...iv/cisloPeriodika	3
http://linked.open...vai/riv/dodaniDat	2006
http://linked.open...aciTvurceVysledku	Praus, Petr
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoká škola báňská - Technická univerzita Ostrava / Fakulta metalurgie a materiálového inženýrství
http://linked.open...dnocenehoVysledku	545561
http://linked.open...ai/riv/idVysledku	RIV/61989100:27360/05:00012968
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Analýza hlavních komponent; rozklad singulárních čísel; faktorová analýza; hierarchická klastrová analýza; alterovaná uhlí; geochemie (en)
http://linked.open.../riv/klicoveSlovo	geochemie Analýza hlavních komponent alterovaná uhlí hierarchická klastrová analýza rozklad singulárních čísel faktorová analýza
http://linked.open...odStatuVydavatele	PL - Polská republika
http://linked.open...ontrolniKodProRIV	[F3E1145E31A7]
http://linked.open...i/riv/nazevZdroje	Central European Journal of Chemistry
http://linked.open...in/vavai/riv/obor	CB
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	1 (xsd:int)
http://linked.open...UplatneniVysledku	2005
http://linked.open...v/svazekPeriodika	4
http://linked.open...iv/tvurceVysledku	Praus, Petr
http://linked.open...n/vavai/riv/zamer	Syntéza, struktura a vlastnosti nanomateriálů založených na bázi interkalovaných fylosylikátů
issn	0364-5916
number of pages	11 (xsd:int)
http://localhost/t...ganizacniJednotka	27360

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