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GitHub Repo https://github.com/UERJ-LIVIA/Kennard-Stone-Mahalanobis

UERJ-LIVIA/Kennard-Stone-Mahalanobis

As Tensorflow Kennard-Stone algorithmin uses euclidean distances, the need for an adaptation arrises when dealing with a big vector space that has unknown correlations between its variables, it may improve a lot neural networks performance.
GitHub Repo https://github.com/JVTupinamba/Kennard-Stone-Mahalanobis

JVTupinamba/Kennard-Stone-Mahalanobis

As Tensorflow Kennard-Stone algorithmin uses euclidean distances, the need for an adaptation arrises when dealing with a big vector space that has unknown correlations between its variables, it may improve a lot neural networks performance.