Exploration of Principal Component Analysis: Deriving Principal Component Analysis Visually Using Spectra

Spectroscopy rapidly captures a large amount of data that is not directly interpretable. Principal component analysis is widely used to simplify complex spectral datasets into comprehensible information by identifying recurring patterns in the data with minimal loss of information. The linear algebr...

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Bibliographic Details

Published in:	Applied spectroscopy Vol. 75; no. 4; p. 361
Main Authors:	Beattie, J Renwick, Esmonde-White, Francis W L
Format:	Journal Article
Language:	English
Published:	United States 01.04.2021
Subjects:	data reduction spectroscopy multivariate analysis PCA Principal component analysis
ISSN:	1943-3530, 1943-3530
Online Access:	Get more information
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