Machine learning and comparing times

I'm familiar with vectorizing textual data and normalizing numerical data for allowing machine-learning algorithms to find similarities.

I'm a bit stuck on comparing data such as time of day. If I represent it as hour of day from 0-23, then times around midnight won't be compared properly. Is there a well known method for normalizing time data so that it can be compared numerically against other times?