I want to do clustering by using kmeans algorithm. Despite that I searched a lot, I could not find a practical solution by weighting features. Let' s assume that there is a dataset of people with the following features:
number of children (integer) existence of husband (boolean) annual income in $ (integer, but with greater order than the previous integer) weight (double) money spent (integer, at most 3-digit number).
In order to do the clustering, I realised that normalisation is a good practice. I implemented min-max as well as z-score, but I observed that the variance plays a crucial role.
Thus, I think that it is essential to find a practical method of handling the features in a different ("unequal") way.