dados: https://drive.google.com/drive/folders/14QnxSNRQ-XyxH72ovRK_Ixib9RXsfW3y?usp=sharing ref: https://hxhc.github.io/post/kennardstone-spxy/
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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.
UERJ-LIVIA/Kennard-Stone-Mahalanobis
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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.
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