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Selecting the number of factors in principal component analysis by permutation testing Numerical and practical aspects

Vitale, Raffaele; Westerhuis, Johan A.; Naes, Tormod; Smilde, Age K.; De Noord, Onno E.; Ferrer, Alberto (John Wiley & Sons, 2017)

[EN] Selecting the correct number of factors in principal component analysis (PCA) is a critical step to achieve a reasonable datamodelling,where the optimal strategy strictly depends on the objective PCA is applied for. ...

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