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Research article

First published 1998-11

Comparison of Prediction- and Correlation-Based Methods to Select the Best Subset of Principal Components for Principal Component Regression and Detect Outlying Objects

J. Verdú-Andrés, D. L. Massart

Applied Spectroscopy

Open access

Research article

First published 2015-2

Principal component-based feature selection for tumor classification

Lin Sun, Jiucheng Xu, Ying Yin

Bio-Medical Materials and Engineering

Open access

Research article

First published 2019-6

Process monitoring based on distributed principal component analysis with angle-relevant variable selection

Chen Xu, Fei Liu

International Journal of Distributed Sensor Networks

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Research article

First published 1998-1

Use of a Genetic Algorithm for Factor Selection in Principal Component Regression

Volker J. Frost, Karl Molt

Journal of Near Infrared Spectroscopy

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Research article

First published 2017-6

Effect of Principal Component Analysis Centering and Scaling on Classification of Mycobacteria from Raman Spectra

Cynthia Hanson, Michael Sieverts, Elizabeth Vargis

Applied Spectroscopy

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Research article

First published 1997-3

Calibration in near Infrared Diffuse Reflectance Spectroscopy. A Comparative Study of Various Methods

M. Blanco, J. Coello, H. Iturriaga [...]

Journal of Near Infrared Spectroscopy

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Research article

First published 2022-4

Image classification method of cashmere and wool based on the multi-feature selection and random forest method

Yaolin Zhu, Jiameng Duan, Yunhong Li [...]

Textile Research Journal

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Research article

First published 2014-7

Classification of atherosclerotic and non-atherosclerotic individuals using multiclass support vector machine

Paulraj Ranjith Kumar, Mohan Priya

Technology and Health Care

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Research article

First published 1997-12

Examination of Criteria for Local Model Principal Component Regression

Gregory A. Bakken, Dixie R. Long, John H. Kalivas

Applied Spectroscopy

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Research article

First published 2023-4

Comparative assessment over the selection of lean supply chain practices through fuzzy integrated principal component analysis,gray relational analysis,and complex proportional assessment approaches

Gokilakrishnan Gopal, Vigneshkumar Murugesan

Proceedings of the Institution of Mechanical Engineers,Part E: Journal of Process Mechanical Engineering

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