Feature rescaling for k-means clustering

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Is it correct to only rescale a large int feature and leave the % features as is when running k-means algorithm for segmentation analysis ?

e.g. a feature is the population of the city(150 000), then the rest features are % (e.g. 0.46) of energy consumption etc etc.

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