I am running k-means clustering on a customer dataset. One of the available demographic fields is inferred homevalue, represented as an integer. This field has value 0 when it's inferred that the customer is not a homeowner at all (they are more likely a renter, live with relatives, etc). I'm struggling to think of a good way to treat this value.
Does it make sense to keep this value as 0? Then my understanding is that the algorithm will interpret this as someone who doesn't own property is closely related to someone who owns an extremely low value property which doesn't seem intuitively right.
Is there a better way of dealing with this?