“Problem 1 Distance is a key notion underlying many data mining algorithms, such as k-nearest neighbor (k-NN). Why can it be a problem to compare customers using regular Euclidean distance such as when they are described by age (in years), income (in dollars), and number of credit cards? How can this problem be fixed? Problem 2 You currently work for Aperture Science, a small company that sells information technology (IT) products. The lone data scientist at Aperture approach” has been added to your cart.
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