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x can be any point in the feature space. the x_i are features of the data points in the data set. perhaps we should change the part before the | to x_i \in foo where foo is the feature-part of \D (I guess we do not have a symbol for that, yet)?
Perhaps it would also be better to not call the k-th nearest neighbour x^k because this is reserved for the feature vector in the k-th row of the training data set? We would need a different symbol in that case, perhaps just x_k? Could then be confused with the k-th column, I know :-)
@lisa-wm I set a milestone with due date for this so that we do this next week 🤝 (Not sure what happens after the due date, so I will set it on next Monday to investigate it :) )
in particular, we don't state how the$x^{(i)}$ are defined (ranking according to distances, but is $x$ itself included?)
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