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Matrix contains the distances between the components of weak weights.
(M1) matrix contains the values of Extended Mahalanobis distances between the components of weak weights.
For these types of Foreman sequence, about 80% minimum distances are in the matrix (distances between the components of weak weights).
This allows the identification of the components of weak weights, the components of medium weights, and the components of strong weights.
So correctly classified (reliable) training samples are associated to strong weights and misclassified samples are assigned with weak weights in the reweighting process.
This distance is applied between the following components: Gaussian interblocks (reference/Current), the components of strong weights, the components of medium weights, and the components of weak weights (Figure 3). Figure 3 Extended Mahalanobis distance between the components of strong weights, the components of medium weights, and the components of weak weights.
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