Analyse en composantes principales à noyaux

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Kernel principal component analysis

In the field of multivariate statistics, kernel principal component analysis (kernel PCA)[1] is an extension of principal component analysis (PCA) using techniques of kernel methods. Using a kernel, the originally linear operations of PCA are performed in a reproducing kernel Hilbert space.

Source : Source : Wikipedia

Source : Wikipedia Machine learning algorithms