now the scale alluded to earlierthat' normalizing the data one important thing with kmeans is that it works best if your data is all normalized that means everything is at the same scale so problem that have here is that my ages range from to but my incomes range all the way up to , so these values are not really comparable the incomes are much larger than the age values dbmf will take all that data and scale it together to consistent scale so can actually compare these things as apples to applesand that will help lot with your -means results soonce we've actually called gju on our modelwe can actually look at the resulting labels that we got then we can actually visualize it using little bit of nbuqmpumjc magic you can see in the code we have little trick where we assigned the color to the labels that we ended up with converted to some floating point number that' just little trick you can use to assign arbitrary colors to given value so let' see what we end up with