I have a database where each observation is a person. They were questioned on their attitude towards the consumption of X category of product. I have being using K-means to segment this data.
I have noticed that people under 19 years old tend to be quite different in their responses to those over 19. I was thinking of dividing the data in
>=19 and producing two clusterings and then merging them so as to produce a single report.
Does this make any sense from a data mining point-of-view? Is there precedent for doing so?