Hierarchical principal component analysis (PCA) and projection to latent structure (PLS) technique on spectroscopic data as a data pretreatment for calibration

K. Janné; J. Pettersen; N.-O. Lindberg; T. Lundstedt

doi:10.1002/cem.677

Hierarchical principal component analysis (PCA) and projection to latent structure (PLS) technique on spectroscopic data as a data pretreatment for calibration

Journal of Chemometrics ◽

10.1002/cem.677 ◽

2001 ◽

Vol 15 (4) ◽

pp. 203-213 ◽

Cited By ~ 33

Author(s):

K. Janné ◽

J. Pettersen ◽

N.-O. Lindberg ◽

T. Lundstedt

Keyword(s):

Principal Component Analysis ◽

Spectroscopic Data ◽

Principal Component ◽

Component Analysis ◽

Latent Structure ◽

Data Pretreatment

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Validating chemical and structural changes in painting materials by principal component analysis of spectroscopic data using internal mineral standards

Journal of Cultural Heritage ◽

10.1016/j.culher.2012.11.006 ◽

2013 ◽

Vol 14 (6) ◽

pp. 509-514 ◽

Cited By ~ 6

Author(s):

Julia Romero-Pastor ◽

Carolina Cardell ◽

África Yebra-Rodríguez ◽

Alejandro B. Rodríguez-Navarro

Keyword(s):

Principal Component Analysis ◽

Spectroscopic Data ◽

Structural Changes ◽

Principal Component ◽

Component Analysis ◽

Painting Materials

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Application of principal-component analysis on near-infrared spectroscopic data of vegetable oils for their classification

Journal of the American Oil Chemists Society ◽

10.1007/bf02638055 ◽

1994 ◽

Vol 71 (3) ◽

pp. 293-298 ◽

Cited By ~ 80

Author(s):

Tetsuo Sato

Keyword(s):

Principal Component Analysis ◽

Vegetable Oils ◽

Spectroscopic Data ◽

Near Infrared ◽

Principal Component ◽

Component Analysis ◽

Infrared Spectroscopic

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A Principal Component Analysis-based Method to Analyze High-resolution Spectroscopic Data on Exoplanets

The Astrophysical Journal ◽

10.3847/1538-4357/ab22b2 ◽

2019 ◽

Vol 878 (2) ◽

pp. 153 ◽

Cited By ~ 4

Author(s):

M. Damiano ◽

G. Micela ◽

G. Tinetti

Keyword(s):

Principal Component Analysis ◽

High Resolution ◽

Spectroscopic Data ◽

Principal Component ◽

Component Analysis

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Real-time principal component analysis of in-line NIR spectroscopic data as applied to heterogeneous catalysis research

Applied Catalysis A General ◽

10.1016/j.apcata.2006.11.029 ◽

2007 ◽

Vol 320 ◽

pp. 16-23 ◽

Cited By ~ 7

Author(s):

Margaret J. Strauss ◽

Nicolaas M. Prinsloo

Keyword(s):

Principal Component Analysis ◽

Heterogeneous Catalysis ◽

Real Time ◽

Spectroscopic Data ◽

Principal Component ◽

Component Analysis ◽

Catalysis Research

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Classification of UV–Vis spectroscopic data using principal component analysis and neural network techniques

Measurement ◽

10.1016/s0263-2241(98)00020-7 ◽

1998 ◽

Vol 24 (1) ◽

pp. 1-7 ◽

Cited By ~ 5

Author(s):

N. Benjathapanun ◽

W.J.O. Boyle ◽

K.T.V. Grattan

Keyword(s):

Neural Network ◽

Principal Component Analysis ◽

Spectroscopic Data ◽

Principal Component ◽

Component Analysis

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Intelligent Data Pretreatment Based on Principal Component Analysis and Fuzzy C-means Clustering in Flotation Process

2007 Chinese Control Conference ◽

10.1109/chicc.2006.4347471 ◽

2006 ◽

Author(s):

Wang Jiesheng

Keyword(s):

Principal Component Analysis ◽

Principal Component ◽

Component Analysis ◽

Flotation Process ◽

Fuzzy C Means ◽

Data Pretreatment ◽

Fuzzy C Means Clustering

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Application of principal component analysis and discriminant analysis using latent structure regression to the identification of highly volatile organic compounds in gas mixtures based on piezoelectric quartz microweighing parameters

Journal of Analytical Chemistry ◽

10.1134/s106193481307006x ◽

2013 ◽

Vol 68 (7) ◽

pp. 652-661 ◽

Cited By ~ 6

Author(s):

T. A. Kuchmenko ◽

D. A. Pogrebnaya ◽

A. A. Shuba

Keyword(s):

Principal Component Analysis ◽

Discriminant Analysis ◽

Volatile Organic Compounds ◽

Organic Compounds ◽

Principal Component ◽

Component Analysis ◽

Gas Mixtures ◽

Latent Structure ◽

Piezoelectric Quartz ◽

Volatile Organic

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Evaluation of a FTIR data pretreatment method for Principal Component Analysis applied to archaeological ceramics

Microchemical Journal ◽

10.1016/j.microc.2015.11.033 ◽

2016 ◽

Vol 125 ◽

pp. 224-229 ◽

Cited By ~ 18

Author(s):

Laura Medeghini ◽

Silvano Mignardi ◽

Caterina De Vito ◽

Aida Maria Conte

Keyword(s):

Principal Component Analysis ◽

Principal Component ◽

Component Analysis ◽

Archaeological Ceramics ◽

Pretreatment Method ◽

Data Pretreatment

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Theory of the distribution of error eigenvalues resulting from principal component analysis with applications to spectroscopic data

Journal of Chemometrics ◽

10.1002/cem.1180010106 ◽

1987 ◽

Vol 1 (1) ◽

pp. 33-40 ◽

Cited By ~ 109

Author(s):

Edmund R. Malinowski

Keyword(s):

Principal Component Analysis ◽

Spectroscopic Data ◽

Principal Component ◽

Component Analysis

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Comparing multiple batches of finished Ginkgo biloba products from international markets including EGb 761® by principal component analysis based on NMR spectroscopic data

10.1055/s-0041-1736843 ◽

2021 ◽

Author(s):

Ž Kulić ◽

A Butterer ◽

S Germer

Keyword(s):

Principal Component Analysis ◽

Ginkgo Biloba ◽

Spectroscopic Data ◽

Principal Component ◽

Component Analysis ◽

International Markets ◽

Egb 761

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