Statistical evaluation demonstrates the utility of AIC and BIC for selecting principal components, highlighting effective criteria for optimal dimensionality reduction.
The use of information criteria, especially AIC (Akaike’s information criterion) and BIC (Bayesian information criterion), for choosing an adequate number of principal components is illustrated.
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Stanley L. Sclove (2021) studied this question.
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