首页|A 50-year personal journey through time with principal component analysis
A 50-year personal journey through time with principal component analysis
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NSTL
Elsevier
Principal component analysis (PCA) is one of the most widely used multivariate techniques. A little more than 50 years ago I first encountered PCA and it has played an important role in my career and beyond, for many years since. I have been persuaded that an account of my 50-year journey through time with PCA would be a suitable topic for inclusion in the Jubilee Issue of JMVA and this is the result. (c) 2021 Elsevier Inc. All rights reserved.
Principal component analysisASYMPTOTIC THEORYVARIABLE SELECTIONDISCARDING VARIABLESROTATIONCLIMATECHOICESCALE
NSTL
Elsevier
