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Artículo
Biobjective sparse principal component analysis
(Academic Press Inc., 2014-08-21)
Principal Components are usually hard to interpret. Sparseness is considered as one way to improve interpretability, and thus a trade-off between variance explained by the components and sparseness is frequently sought. ...