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...

Celý popis

Podrobná bibliografia

Vydané v:	Applied spectroscopy Ročník 75; číslo 4; s. 361
Hlavní autori:	Beattie, J Renwick, Esmonde-White, Francis W L
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States 01.04.2021
Predmet:	data reduction spectroscopy multivariate analysis PCA Principal component analysis
ISSN:	1943-3530, 1943-3530
On-line prístup:	Zistit podrobnosti o prístupe
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!