Question: Consider the case of using a knn classifier, but with the norm (e.g., ) to measure distances rather than the norm (e.g., ). What properties

Consider the case of using a knn classifier, but with the Consider the case of using a knn classifier, but with the norm norm (e.g., (e.g., ) to measure distances rather than the norm (e.g.,). What properties ) to measure distances rather than the of a data set do you think would influence whether the ?manhattan norm (e.g.,distance? would work better or worse than the ?euclidean distance? ? ).  
What properties of a data set do you think would influence whether the image text in transcribed ?manhattan distance? would work better or worse than the image text in transcribed?euclidean distance? ?

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