The Use of Principle Component Analysis in Type Classification of Air-dry Peat

18th International Scientific Symposium in Honour of Academician M. A. Usov: Problems of Geology and Subsurface Development

Chukhareva, N.^1 ; Zarubin, A.^1 ; Bulgakova, O.^1

Tomsk Polytechnic University, Tomsk, Russia^1

关键词: Classification models;    Component composition;    Paramagnetic centers;    Physicochemical property;    Prediction errors;    Principle component;    Principle component analysis;    Type classifications;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/21/1/012045/pdf
DOI  :  10.1088/1755-1315/21/1/012045

来源: IOP

【 摘 要 】

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.