Why normalize data?

Before applying kNN to a classification task, it is common practice to rescale the data using a technique like min-max normalization. What is the purpose of this step?

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To ensure all data elements may contribute equal shares to distance.
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To help the kNN algorithm converge on a solution faster.
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To convert all of the data elements to numbers.
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To redistribute the data as a normal bell curve.
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