How to determine x and y in 2 dimensional K-means clustering?
I see no problem with the example of clustering on two numerical attributes like height and weight like in the example.

The only thing I can think of is somewhere lost in translation, your professor was trying to explain the concept of reducing many dimensions (attributes) to two and then clustering on those derived dimensions. That is a common technique for trying to visually spot clusters in a complex data set.