You're supposed to normalize the value of your range on all dimensions so that they are the same numerical magnitude/range (as the simplest normalization). The

You're supposed to normalize the value of your range on all dimensions so that they are the same numerical magnitude/range (as the simplest normalization). The issue is definitely not specific to clustering, you would have the same problem with one dimension dominate the weight without normalization even for simple regression too.