'Feature rescaling for k-means clustering

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.

k-meansfeature-scaling


Sources

This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.

Source: Stack Overflow

Solution Source

Related Questions