Abstract
The use of principle component analysis (PCA) in the variant of projection on latent values with discriminant analysis (PLS-DA) in type classification of Siberian region air-dry peat by a set of properties is presented. A statistical analysis in principle component space by PCA of different physico-chemical properties of peat such as component composition, concentration of paramagnetic centers and IR-spectra is presented and shows a developed PLS- DA classification model allows estimating peat type by a set of physico-chemical properties with minimum prediction errors.
| Original language | English |
|---|---|
| Title of host publication | IOP Conference Series: Earth and Environmental Science |
| Publisher | Institute of Physics Publishing |
| Volume | 21 |
| Edition | 1 |
| DOIs | |
| Publication status | Published - 2014 |
| Event | 18th International Scientific Symposium in Honour of Academician M. A. Usov: Problems of Geology and Subsurface Development, PGON 2014 - Tomsk, Russian Federation Duration: 7 Apr 2014 → 11 Apr 2014 |
Other
| Other | 18th International Scientific Symposium in Honour of Academician M. A. Usov: Problems of Geology and Subsurface Development, PGON 2014 |
|---|---|
| Country | Russian Federation |
| City | Tomsk |
| Period | 7.4.14 → 11.4.14 |
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ASJC Scopus subject areas
- Earth and Planetary Sciences(all)
- Environmental Science(all)
Cite this
The use of principle component analysis in type classification of air-dry peat. / Chukhareva, N.; Zarubin, Alexey Gennadievich; Bulgakova, O.
IOP Conference Series: Earth and Environmental Science. Vol. 21 1. ed. Institute of Physics Publishing, 2014. 012045.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - The use of principle component analysis in type classification of air-dry peat
AU - Chukhareva, N.
AU - Zarubin, Alexey Gennadievich
AU - Bulgakova, O.
PY - 2014
Y1 - 2014
N2 - The use of principle component analysis (PCA) in the variant of projection on latent values with discriminant analysis (PLS-DA) in type classification of Siberian region air-dry peat by a set of properties is presented. A statistical analysis in principle component space by PCA of different physico-chemical properties of peat such as component composition, concentration of paramagnetic centers and IR-spectra is presented and shows a developed PLS- DA classification model allows estimating peat type by a set of physico-chemical properties with minimum prediction errors.
AB - The use of principle component analysis (PCA) in the variant of projection on latent values with discriminant analysis (PLS-DA) in type classification of Siberian region air-dry peat by a set of properties is presented. A statistical analysis in principle component space by PCA of different physico-chemical properties of peat such as component composition, concentration of paramagnetic centers and IR-spectra is presented and shows a developed PLS- DA classification model allows estimating peat type by a set of physico-chemical properties with minimum prediction errors.
UR - http://www.scopus.com/inward/record.url?scp=84906952828&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84906952828&partnerID=8YFLogxK
U2 - 10.1088/1755-1315/21/1/012045
DO - 10.1088/1755-1315/21/1/012045
M3 - Conference contribution
AN - SCOPUS:84906952828
VL - 21
BT - IOP Conference Series: Earth and Environmental Science
PB - Institute of Physics Publishing
ER -