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most citedDerivation of Symmetric PCA Learning Rules from a Novel Objective Function

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math.OC2020★ 1 cited

Derivation of Symmetric PCA Learning Rules from a Novel Objective Function

Ralf Möller

Neural learning rules for principal component / subspace analysis (PCA / PSA) can be derived by maximizing an objective function (summed variance of the projection on the subspace…