why do we normalize the mean of k mean why do we always add mean to an input in k median why not normalize k mean why does k mean clustering work why should we whiten the data instead of normalizing k means why do we normally divide the mean in the k mean why do you normalize k mean when is k mean normalized should i whiten k mean why do we add features instead of mean is standard deviation k mean why don't we normalize the inputs why do we not rely on whitening the data instead? why not add means when k means why is k mean clustering used why not fully whiten the data what is k mean normalization in statistics why is whitening k-means important can we normalize an input for k mean why do we use the standard deviation instead of mean normalization