We calculate the average number of sub-jets in a jet, defined using a
recently proposed jet clustering algorithm for hadron-hadron collision
s. Our result is exact to leading order in alpha(s), and resums large
leading and next-to-leading logarithms of the resolution variable, y(c
ut), to all orders in alpha(s).